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Experience:

5 years required

Skills:

Software Development, Automation, Leadership Skill, Apache, Oracle

Job type:

Full-time

• Lead, mentor, and manage the Application Support squad (3 Junior engineers), ensuring high morale, optimal performance, and continuous skill development.
• Design and maintain the Shift Roster (Onshore/Offshore Day Shifts and Night Batch Specialist Shifts) with clear daily handover checklists to guarantee 24/7 coverage.
• Establish and govern clear Service Demarcation Lines and handoff points between App Support, Helpdesk, Software Development,SRE and Server teams, eliminating duplicate efforts.
• Manage the implementation and optimization of ITSM, ensuring robust processes for Incident, Problem, Change and Service Request modules.
• Partner with the Bank's IT team to implement API-level Ticket Bridging maintaining a target ticket assignment accuracy of >90%.
• Serve as the primary escalation point for application issues; cooperate with Incident Manager and Technical Teams in the "War Room" during P1/P2 incidents to rapidly restore systems and achieve SLA targets (Downtime < 4.32 mins/month).
• Review night-shift batch processing performance, analyze incident trends, conduct Post-Incident Reviews (PIR/RCA), and define preventive measures.
• Deliver monthly performance dashboards, SLA compliance reports, and operational metrics to SVP of Technology Infrastructure and CTO.
• Lead the creation, auditing, and maintenance of Standard Operating Procedures (SOPs), system and runbooks.
• Bachelor's or Master's degree in Computer Science, Computer Engineering, IT, or a related field.
• 5+ years of experience in Application Support, Product Support, or IT Operations roles, with at least 1-2 years in a senior or supervisory capacity.
• Solid experience working in a Securities (KKPS) or Asset Management (KKPAM) environment, with a strong understanding of back-office financial business operations.
• Hands-on experience implementing or managing ITSM platforms (ServiceNow, Jira Service Management, or preferably ITSM).
• Proven track record in managing incident workflows, shifts, and high-pressure situations under tight SLAs.
• Excellent communication and interpersonal skills, with the ability to bridge technical issues into clear business impact statements for leadership.
• Deep understanding of ITIL frameworks, specifically Incident, Problem, Change, and Asset/CMDB management.
• Specific knowledge and skill / ความรู้เฉพาะตำแหน่ง.
• System & Application Knowledge: Familiarity with core financial systems (CIS, ESS, SBL, MFET, GIS, SAXO, Front IFIS).
• Tech Stack Literacy: Good understanding of Windows/Linux servers, Active Directory, VMware virtualization, SQL databases (MSSQL, Oracle and Postgre), SFTP protocols, GoAnywhere, Apache Aitflow,.
• Core ITSM Administration: ITSM configuration, ticket routing rules, and API integrations.
• Operations & Batch Control: Knowledge of Batch scheduling, automation tools, and transaction logs processing.
• Analytical Skills: Root Cause Analysis (RCA) and Incident Trend analysis.

Skills:

Analytical Thinking, Automation, Sharepoint, Power BI, Apache

Job type:

Internship

• Assist in developing, testing, and validating AI tools and Agentic AI solutions.
• Develop Python- and SQL-based solutions, dashboards, and workflow automation.
• Collect, prepare, and analyze supplier quality datasets supporting AI skills.
• Support creation and maintenance of Markdown Knowledge Bases, and AI training content.
• Contribute to SharePoint AI Hub, AI Agents, and workflow integration initiatives.
• Participate in AI model evaluation, validation, and continuous improvement activities.
• Support documentation, reporting, and deployment readiness of AI projects.#internship.
• Computer Engineering or Robotics & Artificial Intelligence Engineering.
• Proficiency on Microsoft Power App such as Power Automate, Copilot Studio.
• Proficiency in Data analytics and Data visualization programs.
• Strong knowledge of Python programming.
• Strong knowledge of SQL and database fundamentals.
• Experience on Power App, Copilot Studio, Python, Power BI, SQL, Apache Airflow, GitHub.
• Interest in Artificial Intelligence, Machine Learning, and Agentic AI systems.
• Self-driven learner with strong analytical thinking.
• Ability to work with engineering data and large datasets.
• Strong communication and documentation skills.
• Passion for innovation, automation, and problem-solving.
• Home to 4,000+ employees, our Teparuk site produces nano-recording heads, a crucial component of the read/write functionality of ahard disk drive.Our Teparuk facility is a fun and active site. Here at work you and your colleagues can grab breakfast, lunch, dinner andsnacks at our 24-7 on-sitecanteen and coffee shop. Get in a few laps around our running track or enjoy volleyball, ping pong, badmintonor football through our on-sitegymnasium and fitness center. We also offer music, dance and yoga activities. Enjoy many on-site festivalsand celebrations as well as opportunitiesto give back to the local community.
• Location: Teparuk Thailand.
• Travel: None.
• Information at a Glance.
• About Us.
• With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape.
• We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth.
• Seagate is powered by our talented and passionate workforce of 29,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike.
• Join us and get inspired to make a difference in the datasphere!.
• Seagate is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, national origin, citizenship status, physical or mental disability, genetic information, marital status, sex (which includes pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, sexual orientation, religion, military and veteran status, or other status protected by applicable law. We will consider for employment qualified applicants with arrest and conviction records. EEO Know Your Rights Poster.
• Seagate will provide reasonable accommodation with the application process upon request as required to comply with applicable laws. If you need assistance or accommodation due to a disability, you may contact us at [email protected].
• All Seagate jobs will remain open for a minimum of seven days.
• For information on how Seagate collects and uses your personal information during the application process, please review the Applicant Privacy Statement.

Skills:

Analytical Thinking, Automation, Sharepoint, Power BI, Apache

Job type:

Internship

• Assist in developing, testing, and validating AI tools and Agentic AI solutions.
• Develop Python- and SQL-based solutions, dashboards, and workflow automation.
• Collect, prepare, and analyze supplier quality datasets supporting AI skills.
• Support creation and maintenance of Markdown Knowledge Bases, and AI training content.
• Contribute to SharePoint AI Hub, AI Agents, and workflow integration initiatives.
• Participate in AI model evaluation, validation, and continuous improvement activities.
• Support documentation, reporting, and deployment readiness of AI projects.#internship.
• Computer Engineering or Robotics & Artificial Intelligence Engineering.
• Proficiency on Microsoft Power App such as Power Automate, Copilot Studio.
• Proficiency in Data analytics and Data visualization programs.
• Strong knowledge of Python programming.
• Strong knowledge of SQL and database fundamentals.
• Experience on Power App, Copilot Studio, Python, Power BI, SQL, Apache Airflow, GitHub.
• Interest in Artificial Intelligence, Machine Learning, and Agentic AI systems.
• Self-driven learner with strong analytical thinking.
• Ability to work with engineering data and large datasets.
• Strong communication and documentation skills.
• Passion for innovation, automation, and problem-solving.
• Home to 4,000+ employees, our Teparuk site produces nano-recording heads, a crucial component of the read/write functionality of ahard disk drive.Our Teparuk facility is a fun and active site. Here at work you and your colleagues can grab breakfast, lunch, dinner andsnacks at our 24-7 on-sitecanteen and coffee shop. Get in a few laps around our running track or enjoy volleyball, ping pong, badmintonor football through our on-sitegymnasium and fitness center. We also offer music, dance and yoga activities. Enjoy many on-site festivalsand celebrations as well as opportunitiesto give back to the local community.
• Location: Teparuk Thailand.
• Travel: None.
• Information at a Glance.
• About Us.
• With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape.
• We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth.
• Seagate is powered by our talented and passionate workforce of 29,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike.
• Join us and get inspired to make a difference in the datasphere!.
• Seagate is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, national origin, citizenship status, physical or mental disability, genetic information, marital status, sex (which includes pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, sexual orientation, religion, military and veteran status, or other status protected by applicable law. We will consider for employment qualified applicants with arrest and conviction records. EEO Know Your Rights Poster.
• Seagate will provide reasonable accommodation with the application process upon request as required to comply with applicable laws. If you need assistance or accommodation due to a disability, you may contact us at [email protected].
• All Seagate jobs will remain open for a minimum of seven days.
• For information on how Seagate collects and uses your personal information during the application process, please review the Applicant Privacy Statement.

Experience:

2 years required

Skills:

Data Warehousing, Automation, Apache, Python, ETL

Job type:

Full-time

• Data Pipeline Operations.
• Monitor scheduled and event-driven ETL/ELT pipelines across Azure Data Factory, Databricks, Airflow, and related platforms.
• Investigate failed jobs, delayed data, missing records, schema changes, and dependency issues.
• Rerun or recover pipelines using approved operational procedures and confirm successful completion.
• Support production releases, cutovers, and post-deployment monitoring.
• Incident and Problem Management.
• Respond to data-service incidents and operational requests within agreed service levels.
• Perform root-cause analysis and document the issue, impact, resolution, and preventive action.
• Create, update, and follow operational tickets through closure.
• Coordinate with source-system owners, data engineers, infrastructure teams, and report owners when cross-team support is required.
• Data Quality and Reliability.
• Validate data completeness, accuracy, freshness, and reconciliation results.
• Maintain monitoring, alerting, and operational checks for critical pipelines and datasets.
• Identify recurring failure patterns and recommend permanent fixes or automation.
• Escalate material data risks with clear impact and status communication.
• Stakeholder and Service Support.
• Support users of reports, dashboards, and downstream data products.
• Provide concise updates on incidents, blockers, ownership, and expected next actions.
• Participate in daily operational reviews and handovers.
• Maintain runbooks, troubleshooting guides, support knowledge, and service documentation.
• Continuous Improvement.
• Automate repetitive operational tasks and recovery steps where appropriate.
• Contribute to observability, cost, performance, and reliability improvements.
• Support standardization of deployment, support, and data-quality practices.
• Share lessons learned and help improve team operational readiness.
• Required.
• Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related discipline, or equivalent practical experience.
• 2-5 years of experience in data engineering, data operations, application support, or production support.
• Hands-on experience supporting production data pipelines or data platforms.
• Strong SQL skills and working knowledge of Python or another scripting language.
• Experience with one or more orchestration or processing technologies such as Azure Data Factory, Databricks, Apache Spark, or Airflow.
• Understanding of data warehousing, ETL/ELT, file and database integration, job dependencies, and data-quality controls.
• Ability to troubleshoot methodically, communicate clearly, and work across technical and business teams.
• Preferred.
• Experience with Azure or AWS data services.
• Experience with Linux, shell scripting, Git, and CI/CD practices.
• Familiarity with monitoring platforms such as Azure Monitor, CloudWatch, Grafana, or equivalent tools.
• Experience with Jira or an IT service-management platform.
• Retail, e-commerce, finance, supply-chain, or enterprise analytics experience.
• Knowledge of access controls, secrets management, and secure production-support practices.
• Production ownership and service mindset.
• Structured troubleshooting and root-cause analysis.
• Attention to data quality and operational detail.
• Clear incident communication and stakeholder coordination.
• Prioritization under pressure.
• Continuous improvement and automation mindset.

Skills:

Automation, Leadership Skill, Big Data, Apache, English

Job type:

Internship

• The Operations Quality & Analytics (OQ&A) organization helps protect and improve Seagate's Total Customer Experience by developing, deploying, and sustaining end-to-end quality analytics and processes. These solutions provide trusted, actionable information that enables earlier detection and prevention of HDD issues.
• The Operations Quality Analytics Tool & System Development Team supports OQ&A functional teams through data analytics and tool/system development.
• Support the Global Quality organization by identifying opportunities to reduce manua ...
• Analyze and understand existing processes and business requirements, then design, develop, and deploy AI-driven solutions that enhance operational efficiency, productivity, and decision-making.
• The intern will have opportunities to build AI-powered solutions that automate quality processes, reduce manual effort, accelerate root-cause investigations, and enhance operational decision-making across global quality teams.
• Partner with the Global Quality organization to identify and implement opportunities for process automation and operational efficiency improvements.
• Analyze, document, and understand current business processes and operational requirements.
• Design, develop, and deploy AI agents, automated workflows, and other AI-driven solutions.
• Collaborate with stakeholders to ensure solutions aligned with business objectives and user needs.
• Continuously evaluate and enhance deployed solutions to maximize business value and user adoption.
• Participate in the development of AI-powered analytics, automation tools, and digital transformation initiatives.
• Adaptable: Willingness to learn, adapt to changing requirements, and stay current with emerging technologies.
• Reliable: Ability to manage multiple projects and work effectively with cross-functional teams while consistently meeting commitments and deadlines.
• Problem Solver: Strong analytical skills and attention to detail with the ability to troubleshoot and resolve system issues.
• Strong Communicator: Proficient in spoken and written English with the ability to communicate technical concepts clearly.
• Currently pursuing a bachelor's or master's degree in computer science, Information Technology, Engineering, or a related field.
• Background in statistics and machine learning, including regression, clustering, classification, and anomaly/outlier detection.
• Experience integrating OpenAI APIs (text and vision models) into internal tools, analytics pipelines, or inspection workflows.
• Proficiency in Python, including libraries such as Pandas, Scikit-learn, PyOD, and Statsmodels.
• Knowledge of databases, SQL, and fundamental data management concepts.
• Strong problem-solving and analytical skills, with the ability to work efficiently with large datasets.
• Interest in Generative AI, Large Language Models (LLMs), and AI-powered applications.
• Understanding prompt engineering concepts and AI-assisted workflows.
• Experience with Microsoft Copilot Studio.
• Familiarity with ETL (Extract, Transform, Load) processes and data pipeline development.
• Basic knowledge of big data technologies such as Hadoop or Apache Spark.
• Teparuk, Thailand.
• Our Teparuk site specializes in producing nano-recording heads - a crucial component for the read/write functionality of hard disk drives. At our Teparuk facility, work is both productive and enjoyable. You and your colleagues can grab breakfast, lunch, dinner, and snacks at our 24/7 on-site canteen Seagate Internal and coffee shop. Stay active by taking a few laps around our running track or participating in volleyball, basketball, table tennis, badminton, or football at our on-site gymnasium and fitness center. We also offer a variety of activities, including music, dance, and aerobic classes. Alternatively, unwind in our lush green areas. Consider joining any of our employee resource groups (ERGs), such as Seagate Women in Leadership Network (SWLN), Seagate PRIDE: Thailand chapter, or Seagate's parents and caregivers group. These ERGs provide educational and fun activities. Additionally, enjoy on-site festivals, celebrations, and opportunities to give back to the local community.
• Location: Teparuk Thailand.
• Travel: None.
• Information at a Glance.
• About Us.
• With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape.
• We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth.
• Seagate is powered by our talented and passionate workforce of 29,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike.
• Join us and get inspired to make a difference in the datasphere!.
• Seagate is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, national origin, citizenship status, physical or mental disability, genetic information, marital status, sex (which includes pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, sexual orientation, religion, military and veteran status, or other status protected by applicable law. We will consider for employment qualified applicants with arrest and conviction records. EEO Know Your Rights Poster.
• Seagate will provide reasonable accommodation with the application process upon request as required to comply with applicable laws. If you need assistance or accommodation due to a disability, you may contact us at [email protected].
• All Seagate jobs will remain open for a minimum of seven days.
• For information on how Seagate collects and uses your personal information during the application process, please review the Applicant Privacy Statement.

Skills:

Microsoft Azure, Automation, Apache, Python, Kafka

Job type:

Full-time

• Implement data quality checks to ensure completeness, accuracy, and consistency across ingestion and delivery processes.
• Design and manage workflow orchestration to ensure reliable execution, proactive monitoring, and failure recovery.
• Work with system integration stakeholders to define, document, and maintain data exchange requirements for both inbound and outbound flows.
• Build reusable and scalable data integration processes that support both ingestion and outbound delivery across the enterprise.
• Apply data governance and privacy principles to ensure data is well-managed, secure, and compliant with internal and regulatory requirements.
• You have hands-on experience delivering end-to-end data solutions and a strong foundation in areas such as large-scale data processing, data infrastructure engineering, or data modeling.
• You are proficient in Python and SQL, and apply solid engineering practices including testing, version control, CI/CD, and writing maintainable code.
• You have strong, practical experience with Databricks and Apache Spark, and are capable of building, optimizing, and operating production-grade data pipelines.
• You have experience working with streaming data or event-driven pipelines using Kafka or similar technologies.
• You are familiar with workflow orchestration using tools like Airflow, Azure Data Factory, or similar platforms for scheduling, monitoring, and managing data pipelines.
• You have experience working with cloud-based data platforms, particularly on Microsoft Azure; exposure to AWS is a plus.
• You collaborate effectively across teams, communicate clearly, and use strong data intuition to design valuable analytical or operational solutions.
• You are curious, resilient, and thoughtful - comfortable learning new technologies, embracing feedback, and improving how things are done.
• Specific knowledge and skill / ความรู้เฉพาะตำแหน่ง.

Skills:

Git, Apache

Job type:

Full-time

• Architectural Artifacts: Serves as the primary author of the High-Level Design (HLD) and the Architecture Definition Document (ADD) using arc42 standards.
• System Modeling: Utilizes the C4 Model to create detailed component models and documentation that eliminate developer interpretation..
• Technical Governance: Ensures project-level "Gate" success and prevents localized technical debt or security leaks..
• Design Precision: Defines System Building Blocks (SBBs) and formal API Specifications(Open API/Swagger)..
• Decision Management: Records all architectural trade-offs as Architecture Decision Records (ADRs) in a version-controlled repository..
• Cloud & Container Technology.
• Platform Expertise: Architectural design and management within OpenShift (OCP) and Kubernetes (K8s) environments.
• Secret & Key Management: Integration of Vault and Hardware Security Modules (HSM)for robust cryptographic operations and secret management.
• Service Mesh: Implementation of Istio for traffic management and secure communication.
• Governance: Applying Git Ops Governance and integrating security scanning into CI/CD pipelines.
• Banking Security & Regulatory Standards.
• Cyber Resilience: Alignment with the Bank of Thailand (BoT) Cyber Resilience Framework to ensure systemic safety..
• Data Privacy (PDPA): Designing field-level encryption and masking for Personally Identifiable Information (PII) to comply with PDPA regulations..
• Identity & Access: Enforcing Multi-Factor Authentication (MFA) and utilizing OIDC/OAuth2 and JWT (JWS/JWE) for secure identity..
• Audit Readiness: Acting as a technical contact for BoT IT Examinations and ensuring all design assets are ready for regulatory audit..
• Payment Standards: Knowledge of PCI-DSS for cardholder data security.
• Technical Skills & Patterns.
• Microservices Patterns: Expertise in Database-per-service, Circuit Breaker, Sidecar, and Saga Patterns (Distributed Transactions).
• Messaging & Integration: Proficiency in Apache Kafka (ensuring Idempotency), gRPC, and REST (Level 3)..
• Distributed Systems: Application of CAP Theorem and Event Sourcing in high-availability environments..
• Resilience: Implementing Strangler Fig patterns for legacy migration and automated Disaster Recovery (DRP) plans..
• Bachelor's Degree in Computer Science or equivalent work experience.
• 10 year or more years of relevant work experience.
• Experience defining, applying and enforcing architecture standards, guidelines and policies to the organization.
• Good communication skills, abilities to discuss with technical and non-technical people, present ideas and motivate people.
• Background knowledge on banking.
• Messaging or streaming middleware such as RabbitMQ or Kafka.
• Experience with distributed architectures, SOA, microservices and Platform-as-a-Service (PaaS).
• Experience with Agile.
• Experience with high availability, high-scale, and performance systems.
• Why You'll Love Working With Us.
• At Krungsri Nimble, you'll join a passionate team working at the intersection of technology and banking innovation. We embrace an agile mindset where you'll have real ownership and the opportunity to influence system design and business outcomes. In our collaborative and transparent environment, we prioritize continuous learning to stay ahead of the curve. If you're looking for a role where you can make a responsible impact, grow your expertise, and help shape the future of digital banking, this is where you belong.
• Apply now and build something transformative with us.

Experience:

5 years required

Skills:

Architecture, Recruitment, Apache, Python, English

Job type:

Full-time

• Design, develop, and maintain scalable data pipelines for batch and real-time data processing.
• Build and optimize data ingestion, transformation, and loading (ETL/ELT) workflows.
• Work with Azure Data Services, Databricks, and Delta Lake to implement Lakehouse architecture.
• Ensure data quality, reliability, and availability across all data products.
• Collaborate with Data Architects to implement data models and architecture standards.
• Support data governance, metadata management, and lineage tracking.
• Ensure pipelines comply with PDPA, data classification, and security requirements.
• Monitor pipeline performance and troubleshoot data issues in production environments.
• Work closely with Data Scientists and Analysts to deliver model-ready datasets.
• Participate in code reviews and promote engineering best practices.
• What We're Looking For.
• 5+ years of experience in data engineering or related roles.
• Strong proficiency in SQL and Python for data transformation and processing.
• Hands-on experience with Azure Data Services, Databricks, and Delta Lake.
• Experience building and maintaining ETL/ELT pipelines at scale.
• Familiarity with data modeling concepts and distributed data systems.
• Understanding of data governance, data quality, and security practices.
• Proficient in Thai and English at intermediate level or above, sufficient for technical discussions,.
• meetings, and written documentation.
• Experience in banking, fintech, or other regulated industries.
• Knowledge of streaming technologies such as Apache Kafka or Azure Event Hubs.
• Familiarity with CI/CD practices and infrastructure-as-code for data pipelines.
• Exposure to Unity Catalog, Azure Purview, or similar metadata management tools.
• Experience working in Agile/Scrum environments.
• Why Join CAPCO.
• Work on engaging projects with some of the largest banks/insurance in the world, on projects that will transform the financial services industry.
• Work in a collaborative, flat, and entrepreneurial consulting culture.
• Access continuous learning, training, and industry certifications.
• Be part of a team shaping the future of digital financial services.
• Help shape the future of digital transformation across FS & Energy.
• We offer.
• A work culture focused on innovation and creating lasting value for our clients and employees.
• Ongoing learning opportunities to help you acquire new skills or deepen existing expertise in our financial services offerings.
• A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients.
• An agile, diverse, entrepreneurial, inclusive, meritocratic culture.
• Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.
• We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.
• LI-PW1.

Skills:

Software Development, Kubernetes, TensorFlow, Apache, DevOps

Job type:

Full-time

• Design, code, train, test, deploy, and iterate on large-scale, distributed machine learning systems. Collaborate with a multi-functional agile team of data science, UX / UI design, product management, and engineering to build new features / products /services that delight our customers. Work with data scientists and data engineers to create end-to-end machine learning feedback loop and integrate it into various applications. Improve existing machine learning models both in terms of model performance and computing performance. Help drive code review, optimization, testing, and tooli ...
• BS (or higher, e.g., MS, or PhD) in Computer Science, Computer Engineering orrelated technical fields involving Machine Learning or equivalent technical experience Strong analytical and problem-solving skills - Proven software development skills in multiple programming languages (e.g., Python, Golang, C++) Experience with machine learning software packages (e.g., scikit-learn, XGBoost, TensorFlow, Caffe, Theano, Torch) Familiarity with container-based technologies (e.g., Docker, Kubernetes) and DevOps practices (e.g., code review, automated testing, CI / CD, logging, performance monitoring) Strong communication skills & collaborative mindset Experience with data processing tools (e.g., Hadoop, Apache Spark, Apache Beam) and Cloud platforms (e.g., AWS, Azure, GCP) considered a plus.

Experience:

7 years required

Skills:

MongoDB, Python, Hadoop, Apache, MySQL, Thai

Job type:

Full-time

• About LINE MAN Wongnai.
• LINE MAN Wongnai is Thailand's Leading On-Demand Delivery and Lifestyle e-Commerce platform services. We build technology to help Thai people live better, to empower all local businesses by creating an end-to-end food ecosystem through our channel LINE MAN and Wongnai. Connected consumers, riders, and local businesses and improved the daily life of all parties with restaurants nationwide. And because we are local, we provide the deepest variety and services that are tailor-made for Thai people.
• We are looking for an experienced data lead to develop large and high performance data processing systems to drive our business growth. Working in a fast-paced environment, you will bring your expertise and skills to tackle the challenges that impact millions of people on our journey to become the No.1 food platform in Thailand.
• Design and develop large and high performance data processing systems to drive LINE MAN Wongnai business growth and improve the product experience.
• Lead and oversee data engineering projects to ensure pipelines are reliable, efficient, testable, & maintainable.
• Improve data quality to management and governance.
• Evangelize high quality software engineering practices towards building data pipelines and platforms at scale.
• Contribute to shared engineering tooling & standards to improve the productivity and quality of output for engineers across the company.
• At least 3-7 years of practical or hands-on experience in Data Engineering or relevant industry.
• Excellent problem-solving skills and attention to detail.
• Effective communication and collaboration skills.
• Knowledge and experience with data quality frameworks (e.g., Great Expectations).
• Working knowledge with both relational and non-relational databases (e.g., MongoDB, MySQL, PostgreSQL).
• Strong proficiency in SQL, Python, and other programming languages commonly used in data engineering.
• Extensive hands-on experience with Apache Spark Batch/Real Time and performance tuning.
• Proven hands-on experience with Hadoop and familiarity with open table formats.
• Experience with Polars and DuckDB (Preferable).

Experience:

5 years required

Skills:

Problem Solving, Architecture, Automation, Big Data, Python, Apache, Kafka, Scala, SQL, ETL

Job type:

Full-time

• We are looking for a visionary and technical.
• Lead Data Engineer.
• to guide and scale our data engineering team within our regional data chapter. In this role, you will own the architecture, evolution, and reliability of our next-generation regional data platform. You will lead a talented team of engineers to optimize our.
• Databricks-driven Data Lakehouse architecture., drive core DataOps practices, implement robust data governance, and collaborate across functional squads to empower advanced analytics, business intelligence, and AI initiatives.
• The ideal candidate is an expert data architect and a proven technical leader who thrives on transforming messy, disconnected datasets into a unified, low-latency, and highly secure data ecosystem.
• Design, build, and continuously optimize our scalable Data Lakehouse platform leveraging Databricks and AWS infrastructure to support global business expansion.
• Lead the design and implementation of highly automated, optimal real-time and batch data extraction, transformation, and loading (ETL/ELT) frameworks. Oversee complex integration with internal microservices, external insurance partners, and third-party APIs.
• Champion engineering best practices by building framework controls, schema registries, automated testing, and CI/CD pipelines for data assets (utilizing tools like dbt and Airflow). Drive initiatives like Databricks serverless migrations and automated performance monitoring.
• Own the end-to-end framework for regional data quality, data observability (e.g., Elementary), data freshness, and data catalogs. Ensure robust data security, compliance (PDPA), and sensitivity tagging across multi-region boundaries.
• Partner with Executives, Product Owners, Software Developers, Data Analysts, and MLOps/Data Science squads to unblock complex technical dependencies, align infrastructure capabilities, and deliver actionable data products.
• Actively research and spearhead proof-of-concepts incorporating advanced technologies like Generative AI/Agentic AI data pipelines (e.g., automated knowledge bases, smart web scraping solutions) into the data ecosystem.
• Manage, mentor, and elevate the technical capabilities of junior and senior data engineers within regional squads, ensuring standardized practices and strong technical ownership.
• 5+ years of experience in Data Engineering, Data Architecture, or a related technical capability role, with at least 2+ years leading engineering teams or core technical projects.
• Deep hands-on experience designing and managing production workloads in.
• Databricks.
• (Delta Lake, Unity Catalog, and serverless compute paradigms).
• Master-level proficiency in.
• SQL.
• (complex query authoring, optimization, and macro writing) and programmatic data engineering in.
• Python.
• or.
• Scala.
• Heavy experience with Big Data open-source frameworks, primarily.
• Apache Spark.
• Expertise with modern cloud data pipeline orchestration tools (e.g.,.
• Airflow., Dagster) and transformation tools like.
• dbt.
• Solid mastery over.
• AWS cloud services.
• infrastructure (S3, EC2, RDS, VPC configurations, network connectivity) integrated within data ecosystems.
• Expert knowledge of transactional databases, distributed storage, message queuing/streaming (e.g., Kafka), and structural patterns for Lakehouse data modeling (Medallion architecture: Bronze, Silver, Gold layers).
• Proven experience performing root cause analysis on production infrastructure failures, handling complex code/infrastructure migrations, and managing data pipeline debts (e.g., optimizing small file storage).
• Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Technology, or a highly quantitative relevant field.

Skills:

System Administration, ElasticSearch, Architecture, Automation, Kubernetes, MongoDB, Python, Docker, DevOps, Apache, Kafka, Redis, Linux, English, Thai

Job type:

Full-time

• Design, develop, operate, and manage scalable, resilient, and secure Technology Automation Platforms.
• Build, maintain, and optimize hybrid infrastructure environments across cloud and on-premises platforms.
• Develop and manage Infrastructure-as-Code (IaC) solutions to automate platform provisioning, secure software deployment, and operational processes through CI/CD pipelines.
• Ensure platform availability, performance, reliability, and disaster recovery readiness.
• Automate infrastructure deployment, configuration management, monitoring, patch management, upgrades, and security compliance activities.
• Support release management, deployment automation, and production implementation activities.
• Perform root cause analysis, incident management, troubleshooting, and resolution of complex infrastructure and platform issues.
• Design and implement monitoring, logging, observability, and operational excellence solutions.
• Develop recommendations, roadmaps, and implementation plans to enhance platform stability, security, scalability, and efficiency.
• Partner with development, security, architecture, and operations teams to support platform modernization initiatives and cloud transformation programs.
• Contribute technical guidance and best practices while mentoring junior engineers and team members where appropriate.
• You are a highly motivated technology professional with strong experience in platform engineering, infrastructure automation, cloud technologies, and DevOps practices. You possess a growth mindset, enjoy solving complex technical challenges, and are passionate about improving operational efficiency through automation and innovation.
• You thrive in fast-paced enterprise environments and are comfortable working with cross-functional teams across different cultures and geographies. You combine deep technical expertise with strong communication skills and a customer-first approach.
• Your Future at Kyndryl.
• Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
• Who You Are.
• You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
• Required Technical and Professional Expertise.
• Linux or Windows System Administration.
• Middleware Administration.
• Cloud Infrastructure.
• DevOps Engineering.
• Container Platforms.
• Infrastructure Automation.
• Experience supporting enterprise-scale or mission-critical production environments.
• MongoDB.
• Redis.
• PostgreSQL.
• Apache Kafka.
• Elasticsearch.
• Loki.
• OpenTelemetry.
• HashiCorp Vault.
• Apache Tomcat.
• ArgoCD.
• Ansible.
• AWS Cloud.
• Terraform.
• API technologies and integration.
• Ansible Playbooks.
• Bash.
• PowerShell.
• Python.
• Experience designing and managing CI/CD pipelines and Infrastructure-as-Code solutions.
• Strong knowledge of cloud-native architecture, implementation, and operational support, with experience in AWS Cloud preferred.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent verbal and written communication skills in both Thai and English.
• Ability to work effectively in multicultural and high-pressure environments.
• Preferred Technical and Professional Experience.
• Experience within Banking, Financial Services, Insurance (BFSI), or other highly regulated enterprise environments.
• Experience with containerization and orchestration technologies such as Docker, Kubernetes, or OpenShift.
• Knowledge of Site Reliability Engineering (SRE) practices, observability frameworks, and platform security controls.
• Experience supporting AI-enabled cloud-native platforms and related infrastructure services.
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• Relevant certifications in AWS, Terraform, DevOps, Cloud, or Infrastructure Automation technologies.
• Being You.
• The "Kyn" in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don't meet every requirement, we encourage you to apply. We believe in growth, and we're excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging - being a valued, respected, trusted member of the team - is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That's The Kyndryl Way.
• What You Can Expect.
• Your career with us isn't just a job - it's an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health - because we know that when you feel your best, you do your best.
• From your very first day, you'll dive into impactful work that powers the systems our customers rely on every day. You won't just contribute - you'll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.
• We're here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you'll have everything you need to thrive and evolve. You'll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities - from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you'll be part of a culture that values empathy, restless learning, and a devotion to shared success.
• We want you to thrive here - and we're committed to helping you do just that. Ready to make an impact? Join us and help shape what's next.
• Get Referred!.
• If you know someone that works at Kyndryl, when asked 'How Did You Hear.
• About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.

Experience:

3 years required

Skills:

Microsoft Azure, Python, Apache, Kafka, SQL

Job type:

Full-time

• You have hands-on experience delivering end-to-end data solutions and a strong foundation in areas such as large-scale data processing, data infrastructure engineering, or data modeling.
• You are proficient in Python and SQL, and apply solid engineering practices including testing, version control, CI/CD, and writing maintainable code.
• You have strong, practical experience with Databricks and Apache Spark, and are capable of building, optimizing, and operating production-grade data pipelines.
• You have experience working with streaming data or event-driven pipelines using Kafka or similar technologies.
• You are familiar with workflow orchestration using tools like Airflow, Azure Data Factory, or similar platforms for scheduling, monitoring, and managing data pipelines.
• You have experience working with cloud-based data platforms, particularly on Microsoft Azure; exposure to AWS is a plus.
• You collaborate effectively across teams, communicate clearly, and use strong data intuition to design valuable analytical or operational solutions.
• You are curious, resilient, and thoughtful - comfortable learning new technologies, embracing feedback, and improving how things are done.

Experience:

2 years required

Skills:

Architecture, Automation, Backbone, Python, DevOps, Apache, SQL, ETL

Job type:

Full-time

• At Gosoft, were the tech powerhouse behind CP ALL Grouppowering innovations for over 15,000 7-Eleven stores nationwide, including platforms like 7-Delivery. As part of our Data Science & Data Engineering team, youll work at the cutting edge of cloud-native tech and big dataespecially on Databricks Lakehouse and AWS/GCP.
• Were looking for passionate engineers ready to build high-impact data systems that shape the future of retail.
• Design and maintain scalable data pipelines on Databricks Lakehouse Platform.
• Build ETL/ELT workflows for both structured and unstructured data.
• Partner with data scientists and analysts to turn raw data into actionable insights.
• Optimize performance of Spark jobs, Delta Lake, and streaming pipelines.
• Lead platform monitoring, CI/CD automation, and cloud-native governance.
• Apply best practices in data security, quality, and governance.
• What Were Looking For.
• Degree in Computer Science, Engineering, or related field.
• 2+ years of hands-on experience in Data Engineering / Platform Engineering.
• Strong with Databricks, Apache Spark, Delta Lake.
• Skilled in Python, SQL, and working in notebooks (Jupyter/Databricks).
• Experience in AWS or GCP services.
• Solid understanding of Lakehouse Architecture and Data Modeling.
• Familiar with CI/CD, Git, and MLOps/DevOps for data platforms.
• Bonus: Experience in retail tech, data privacy, and RBAC.
• Why Gosoft?.
• Impact: Be the backbone of the data powering 7-Elevens national operations.
• Innovation: Work on modern architecture and enterprise-scale platforms.
• Growth: Learn from top talent in DataOps, MLOps, and Cloud Engineering.
• Flexibility: Hybrid working, continuous learning, and career advancement.

Skills:

Software Development, Financial Reporting, Agile Development, Architecture, Recruitment, Kubernetes, Big Data, YouTube, Kotlin, Hadoop, Apache, Kafka, Scala, Scrum, Java, SQL, English

Job type:

Full-time

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• Fintech is one of the fastest growing areas in Agoda and we are rapidly expanding our tech team. We work closely with the finance business team and our Fintech product owners to reduce risk, drive efficiencies and move on new market opportunities in this exciting field. We have a wide range of projects from traditional finance to cutting-edge customer fintech. For example, reconciliation using Big Data technologies, growing and optimizing customer payments options, tax calculations in milli-second.
• r.
• esponse.
• times and a mesh of supplier payment options like virtual credit cards. It.
• s a hot field and the perfect mix of data engineering and backend engineering.
• The Opportunity.
• In this role, you will not only develop robust backend systems but also architect and maintain scalable data pipelines and storage solutions that support complex data collection, processing, and analysis. Your dual expertise in backend and data engineering will play a crucial role in optimizing our financial technology solutions and driving informed business decisions through reliable data insights.
• In This Role, You'll Get to.
• Think and own the full life cycle of our products, not just a single piece of code - from business requirements, technology selection, coding standards, agile development, unit and application testing, to CI/CD and proper monitoring.
• Design, develop and maintain platforms and data pipelines across fintech.
• Boost System Performance: build systems that are stable, scalable, and highly performant to meet the dynamic demands of the financial landscape.
• Write great code and help others write great code - mentor people in your team and wider.
• Collaborate with other teams and departments.
• Exceptional problem-solving skills coupled with a strategic mindset are essential. You possess the ability to adapt to new changes and the foresight to anticipate future needs. Leadership at Agoda isn't just managing tasks but inspiring innovation and driving vision into reality.
• Foster Cross-Functional Collaboration: work with diverse teams to drive forward product and technology goals.
• Shape our future team: Play a pivotal role in recruiting and onboarding exceptional talent.
• What You'll Need to Succeed.
• 8+ years.
• of experience with strong proficiency in Java, Kotlin, Scala with a proven track record of developing high-performance applications in production settings. Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture.
• Thinks in systems: their edge cases, failure modes, and life cycles.
• Uses a metrics driven approach and can make informed decisions using data.
• You are passionate about the craft of software development and constantly work to improve your knowledge and skills.
• Experience with Scrum/Agile development methodologies.
• Excellent verbal and written English communication skills.
• Experience with operational excellence and a deep understanding of metrics, alarms and dashboards.
• It's Great If You Have.
• Experience working in a modern FinTech or Payments organization.
• Domain knowledge in any of these areas: financial reconciliation, financial reporting, tax, payout methods like virtual credit cards or customer payments.
• Hands-on experience working with technologies like Spark for data processing, ETLs for data pipelines and queueing systems (Kafka, RabbitMQ).
• Core engineering infrastructure tools like GitLab for source control and Continuous Integration, Kubernetes.
• Experience developing, maintaining and debugging large-scale distributed systems.
• Experience in leading projects, initiatives and/or teams, with full ownership of the systems involved.
• This position is based in Bangkok, Thailand (Relocation Provided).
• Bengaluru.
• Please review our Hiring Process Guidelines before your interview - click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Skills:

Software Development, Financial Reporting, Agile Development, Architecture, Recruitment, Kubernetes, Big Data, YouTube, Kotlin, Hadoop, Apache, Kafka, Scala, Scrum, Java, SQL, C#, English

Job type:

Full-time

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• Fintech is one of the fastest growing areas in Agoda and we are rapidly expanding our tech team. We work closely with the finance business team and our Fintech product owners to reduce risk, drive efficiencies and move on new market opportunities in this exciting field. We have a wide range of projects from traditional finance to cutting-edge customer fintech. For example, reconciliation using Big Data technologies, growing and optimizing customer payments options, tax calculations in milli-second.
• response.
• times and a mesh of supplier payment options like virtual credit cards. It.
• s a hot field and the perfect mix of data engineering and backend engineering.
• The Opportunity.
• In this role, you will not only develop robust backend systems but also architect and maintain scalable data pipelines and storage solutions that support complex data collection, processing, and analysis. Your dual expertise in backend and data engineering will play a crucial role in optimizing our financial technology solutions and driving informed business decisions through reliable data insights.
• In This Role, You'll Get to.
• Think and own the full life cycle of our products, not just a single piece of code - from business requirements, technology selection, coding standards, agile development, unit and application testing, to CI/CD and proper monitoring.
• Design, develop and maintain platforms and data pipelines across fintech.
• Boost System Performance: build systems that are stable, scalable, and highly performant to meet the dynamic demands of the financial landscape.
• Write great code and help others write great code - mentor people in your team and wider.
• Collaborate with other teams and departments.
• Exceptional problem-solving skills coupled with a strategic mindset are essential. You possess the ability to adapt to new changes and the foresight to anticipate future needs. Leadership at Agoda isn't just managing tasks but inspiring innovation and driving vision into reality.
• Foster Cross-Functional Collaboration: work with diverse teams to drive forward product and technology goals.
• Shape our future team: Play a pivotal role in recruiting and onboarding exceptional talent.
• What You'll Need to Succeed.
• 10+ years.
• of experience with strong proficiency in.
• Java, Kotlin, Scala, or C#.
• with a proven track record of developing high-performance applications in production settings. Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture.
• Thinks in systems: their edge cases, failure modes, and life cycles.
• Uses a metrics driven approach and can make informed decisions using data.
• You are passionate about the craft of software development and constantly work to improve your knowledge and skills.
• Experience with Scrum/Agile development methodologies.
• Excellent verbal and written English communication skills.
• Experience with operational excellence and a deep understanding of metrics, alarms and dashboards.
• It's Great If You Have.
• Experience working in a modern FinTech or Payments organization.
• Domain knowledge in any of these areas: financial reconciliation, financial reporting, tax, payout methods like virtual credit cards or customer payments.
• Hands-on experience working with technologies like Spark for data processing, ETLs for data pipelines and queueing systems (Kafka, RabbitMQ).
• Core engineering infrastructure tools like GitLab for source control and Continuous Integration, Kubernetes.
• Experience developing, maintaining and debugging large-scale distributed systems.
• Experience in leading projects, initiatives and/or teams, with full ownership of the systems involved.
• This position is based in Bangkok, Thailand. (Relocation package is provided).
• Bengaluru.
• SaoPaulo.
• Please review our Hiring Process Guidelines before your interview - click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Experience:

6 years required

Skills:

Cloud Computing, Architecture, Postgre SQL, Automation, Leadership Skill

Job type:

Full-time

• Bangkok, Thailand.
• Workplace: on_site.
• We are looking for a Senior AI & Data Engineering Manager to lead the design, development, and scaling of enterprise-scale, production-grade data platforms and AI-ready data infrastructure that drive business value across Retail and Wholesale operations. This role bridges business strategy, data engineering, AI platform, and cloud technologies to deliver trusted, governed, and scalable data for Business Intelligence, ...
• AI & Advanced Analytics Enablement.
• Lead the design, development, and deployment of enterprise AI, Machine Learning, and Generative AI solutions to support business transformation (e.g., pricing, promotion, automation, recommendation, demand forecasting, customer insights, and intelligent decision support).
• Build and manage scalable data pipelines supporting AI/ML model training, inference, feature engineering, Feature Store, RAG knowledge bases, and LLM applications.
• Develop reusable datasets, AI-ready data products, feature engineering pipelines, and semantic data models for AI Engineers, Data Scientists, and Business Analytics teams.
• Partner closely with AI Engineers to design, deploy, productionize, and scale AI/ML models, LLM applications, Agentic AI, AI Chatbots, Recommendation Systems, and Mobile AI applications.
• Design and maintain data ingestion pipelines for structured, semi-structured, and unstructured data from enterprise systems, APIs, databases, files, event streams, IoT devices, and third-party platforms.
• Develop scalable data pipelines supporting document ingestion, embedding generation, metadata management, vector indexing, and retrieval workflows for RAG applications.
• Identify opportunities to embed AI into business workflows and operational decision-making to improve efficiency, customer experience, and business value.
• Data Platform & Engineering Leadership.
• Own end-to-end enterprise data architecture from source systems to Data Lake, Lakehouse, Data Warehouse, Feature Store, Semantic Layer, and AI-serving layers.
• Design, develop, and optimize scalable ETL/ELT pipelines supporting batch, micro-batch, streaming, and near real-time data processing.
• Design and maintain workflow orchestration for enterprise data pipelines using Databricks Workflows, Apache Airflow, or equivalent orchestration frameworks.
• Develop enterprise-scale Big Data solutions using Apache Spark and distributed computing frameworks.
• Design scalable logical and physical data models while optimizing database architecture for performance, scalability, reliability, and cost efficiency.
• Ensure enterprise data quality, governance, lineage, metadata management, observability, security, and compliance across data platforms.
• Implement automated data validation, monitoring, logging, alerting, and observability to ensure production-grade data reliability.
• Optimize SQL queries, Spark workloads, partitioning strategies, storage formats, and compute resources for maximum performance and cost efficiency.
• Analyze complex technical issues, identify root causes, troubleshoot production problems, and recommend infrastructure and platform improvements.
• Select, evaluate, and integrate modern data engineering tools, cloud technologies, and AI platform frameworks to support evolving business needs.
• Continuously evaluate emerging technologies in Big Data, Lakehouse Architecture, Data Platform Engineering, Cloud Computing, and AI Platform Engineering.
• AI Platform & Infrastructure.
• Build and maintain enterprise AI data infrastructure supporting LLM, RAG, Agentic AI, AI Chatbots, Recommendation Engines, Intelligent Search, and Intelligent Automation platforms.
• Design and implement scalable AI data pipelines supporting batch, streaming, vector search, embedding pipelines, and Retrieval-Augmented Generation (RAG) architectures.
• Design scalable APIs, data services, and integration layers connecting AI applications with enterprise systems and digital platforms.
• Collaborate with AI Engineers to prepare high-quality datasets for LLM fine-tuning, prompt engineering, model evaluation, inference, and continuous model improvement.
• Support deployment and operationalization of AI products using DataOps, MLOps, CI/CD, containerization, and modern software engineering practices.
• Drive continuous improvements in platform scalability, availability, security, observability, resilience, and operational efficiency.
• Team Leadership & Capability Building.
• Lead, mentor, and develop a high-performing team of Data Engineers, AI Engineers, and Analytics professionals.
• Foster engineering excellence through best practices in architecture design, coding standards, testing, code reviews, deployment, technical documentation, and software engineering.
• Drive architecture reviews, technical design reviews, engineering governance, and platform standardization across the engineering organization.
• Define engineering standards, technical roadmaps, platform architecture, and technology strategy aligned with business objectives.
• Collaborate closely with Product Owners, Business Stakeholders, AI Engineers, Data Scientists, Solution Architects, Infrastructure, and DevOps teams.
• Provide hands-on technical leadership with a strong engineering mindset and willingness to troubleshoot complex production systems.
• Promote continuous learning, knowledge sharing, innovation, and adoption of emerging technologies across the engineering team.
• Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology, Artificial Intelligence, Data Engineering, Management Information Systems, or a related field.
• 6+ years of experience in Data Platform Engineering, Data Engineering, Big Data, or AI Platform development, with experience leading engineering teams.
• Strong experience designing and implementing enterprise-scale Data Lake, Lakehouse, Data Warehouse, or Modern Data Platform architectures.
• Expert proficiency in.
• SQL, Databricks SQL, PostgreSQL., database design, and query performance optimization.
• Strong programming skills in Python.
• Hands-on experience with Apache Spark, Databricks, Delta Lake, Spark SQL, Unity Catalog, and distributed data processing.
• Strong experience designing and developing scalable.
• ETL/ELT.
• pipelines and workflow orchestration.
• Experience with streaming technologies such as.
• Spark Structured Streaming, Kafka., or equivalent.
• Experience building enterprise-scale data platforms supporting AI/ML, Advanced Analytics, and Generative AI applications.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/46316BE4DC/apply).

Experience:

2 years required

Skills:

Data Analysis

Job type:

Full-time

• Suan Luang, Thailand (Hybrid).
• Full-time.
• Workplace: hybrid.
• Department: Software Engineering.
• We are seeking a highly motivated and skilled Data Scientist to join our team in the retail industry. The ideal candidate has at least 2 years of experience in data science, with expertise in data analysis, predictive modeling, and machine learning. Exposure to MLOps, feature engineering, and data engineering workflows will be considered a plus.
• Collect, preprocess, and analyze large datasets to identify trends and actionable insights for retail business challenges.
• Design, train, and deploy machine learning models for tasks such as demand forecasting, customer behavior analysis, and inventory optimization.
• Partner with cross-functional teams, including data engineers and business stakeholders, to translate requirements into data-driven solutions.
• Present insights and findings through visualizations and dashboards to inform decision-making.
• Stay updated on the latest tools and techniques in data science and retail analytics.
• Optional.
• Engineer and optimize features to improve machine learning model performance.
• Automate feature extraction pipelines for scalable workflows.
• Contribute to the deployment, monitoring, and retraining of machine learning models in production environments.
• Assist in designing and maintaining data pipelines and ensuring data quality.
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• At least 2 years of experience in data science or a related field.
• Proficiency in Python for data analysis and machine learning.
• Strong SQL skills for managing and querying large datasets.
• Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib).
• Strong problem-solving, communication, and teamwork abilities.
• Preferred (Optional).
• Exposure to MLOps tools (e.g., MLflow, Kubeflow, AWS SageMaker).
• Familiarity with data engineering tools (e.g., Apache Spark, Kafka, Airflow).
• Experience in building real-time analytics or personalization systems.
• Clear focus.
• Diverse Workplace (Our members are from around the world!).
• Non-hierarchical and agile environment.
• Growth opportunity and career path.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/BC2701CDBF/apply).

Skills:

Good Communication Skills, Software Development, Web Services, Spring Boot, Javascript

Job type:

Full-time

Work with an agile squad to deliver solutions to meet the business requirements for mutual fund products. Deliver the quality of the source code under your assignments. Create automated unit testing to cover the lines of code coordinate with tester to resolve any defects or bugs. Be proactive to take responsibility and have good communication to the team. Be able to extract some business logics from the legacy applications and summarise to the team. Be creative to propose on solution for better performance or UI usage Coordinate with developers, solution designer and architect to p ...

Skills:

Data Warehousing, Risk Management, Data Analysis, TensorFlow, Big Data

Job type:

Full-time

• Design, develop and deploy advanced machine learning and artificial intelligence models focused on financial risk analytics, credit risk assessment, market risk analysis and fraud detection.
• Lead the end-to-end data science lifecycle, from problem definition and data exploration through model validation, implementation and ongoing performance monitoring.
• Mentor and supervise junior data scientists and analytical staff, fostering a culture of excellence, continuous learning and collaborative problem-solving within the te ...
• Conduct comprehensive exploratory data analysis on large-scale financial datasets to identify patterns, anomalies and opportunities for predictive modelling.
• Develop robust statistical models and econometric frameworks to quantify and forecast financial risks across various asset classes and business segments.
• Create clear and compelling data visualisations and reports that translate complex analytical findings into actionable business recommendations for senior management and risk committees.
• Collaborate closely with risk management, compliance, trading and operations teams to understand business requirements and ensure analytical solutions align with strategic objectives.
• Establish and maintain rigorous model governance frameworks, including validation protocols, backtesting procedures and documentation standards to ensure regulatory compliance.
• Stay abreast of emerging trends, methodologies and technologies in financial AI, machine learning and risk analytics, and evaluate their applicability to our business.
• Optimise data pipelines and analytical infrastructure to enhance processing efficiency, scalability and data quality across analytical systems.
• What we're looking for.
• Master's degree or higher in Data Science, Machine Learning, Statistics, Mathematics, Physics, Computer Science or a related quantitative discipline.
• Minimum 7-10 years of professional experience in data science, machine learning engineering or advanced analytics, with at least 4-5 years specifically focused on financial services, risk analytics or quantitative finance.
• Demonstrated expertise in building and deploying machine learning models in production environments, with proficiency in supervised learning, unsupervised learning, ensemble methods and deep learning techniques.
• Strong proficiency in programming languages such as Python, R or Scala, with experience in relevant libraries and frameworks (e.g. scikit-learn, TensorFlow, PyTorch, XGBoost).
• Solid understanding of financial concepts including credit risk, market risk, operational risk, counterparty risk, regulatory capital requirements and risk measurement methodologies.
• Experience with big data technologies and distributed computing frameworks such as Apache Spark, Hadoop or cloud-based analytics platforms (AWS, GCP, Azure).
• Proven track record of leading analytical projects, mentoring junior staff and driving cross-functional collaboration in a complex organisational environment.
• Strong statistical knowledge including hypothesis testing, causal inference, time series analysis and experimental design.
• Experience with financial data sources, APIs and market data platforms; familiarity with data warehousing and ETL processes is advantageous.
• Excellent communication skills with the ability to present technical concepts clearly to both technical and non-technical audiences.
• Knowledge of financial regulations such as Basel III, IFRS 9, Dodd-Frank or equivalent regional frameworks is highly desirable.
• Certification in machine learning, data science or related disciplines is a plus.