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Skills:

SQL, Oracle, Data Warehousing

Job type:

Full-time

• Bachelor s degree in computer science, Information Systems, Engineering, or a related field.
• At least 3 years of experience as a Data Engineer or in a related role.
• Hands-on experience with SQL, database management (e.g., Oracle, SQL Server, PostgreSQL), and data warehousing concepts.
• Experience with ETL/ELT tools such as Talend, Apache NiFi, or similar.
• Proficiency in programming languages like Python, Java, or Scala for data manipulation and automation.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
• Strong understanding of data governance, security, and privacy frameworks in a financial services context.
• Excellent problem-solving skills and attention to detail.
• Banking or financial services industry experience, especially in retail or wholesale banking data solutions.
• Certification in cloud platforms (e.g., AWS Certified Data Engineer, Microsoft Azure Data Engineer, Google Professional Data Engineer).
• Contact: K.Chalida 08-------993.
• You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.

Skills:

ETL, Big Data

Job type:

Full-time

• Pipeline Development: Support the design and maintenance of scalable ETL/ELT pipelines for structured and unstructured datasets..
• AI Data Readiness: Assist in building data ingestion flows for Vector Databases and supporting RAG (Retrieval-Augmented Generation) architectures..
• Data Modeling: Contribute to the creation of robust data models and Feature Stores that serve both traditional analytics and machine learning workloads..
• Data Quality & Operations.
• Validation & Cleaning: Implement automated scripts to ensure high data integrity, reliability, and performance across the platform..
• Cloud Optimization: Assist in monitoring cloud resource usage (GCP/AWS) to ensure cost-efficiency and low-latency data access..
• Engineering Collaboration: Work closely with senior engineers to document data lineage and ensure the architecture is built for long-term scalability..
• Experience: Entry-level to 2 years of experience in data engineering, backend development, or a related technical internship.
• Portfolio: Demonstration of coding ability through a Github repository or a portfolio of data projects (e.g., building a personal API, a data scraper, or a small-scale ETL project)..
• Education: Bachelor s degree in Computer Engineering, Computer Science, Statistics, or a related technical field..
• Python: Solid foundation in writing clean, modular Python code.
• SQL: Proficiency in writing and optimizing complex queries for data analysis.
• Cloud Knowledge: Familiarity with at least one major cloud provider (GCP or AWS) and basic understanding of services like BigQuery, Redshift, or S3.
• AI Awareness: Interest in how data engineering supports AI; basic knowledge of unstructured data or vector search is a plus..
• What We Offer.
• Hands-on Multi-Cloud Experience: Get direct exposure to large-scale data environments on GCP/AWS and modern orchestration tools..
• Innovative Tech Stack: Work with cutting-edge tools at the intersection of Big Data and AI, including Vector DBs and automated data quality frameworks..
• Growth & Mentorship: A supportive environment where you will learn from senior engineers and have a clear path for professional development..
• Impactful Work: See your data pipelines directly power real-time marketing decisions and AI-driven products..
• If you re ready to build the data foundation for the next generation of AI, apply now!.

Skills:

ETL, Compliance, SQL

Job type:

Full-time

• Design, implement, and manage end-to-end data pipelines architectures.
• Configure and maintain data ingest workflows (ETL) across several production systems.
• Transform data into Data Mart, Data Model that can be easily analyzed.
• Ensure data accuracy, high usability, timely availability, and strong performance.
• Demonstrate a hands-on development mindset with a willingness to troubleshoot and solve complex problems.
• Ensure compliance with data governance and security policies.
• Minimum of 3 years of work experience as a Data Engineer.
• Strong SQL skills with knowledge of NoSQL tools and languages.
• Strong proficiency in Python scripting.
• Experience with AWS Cloud Data Platform services such as S3, Redshift, Glue, Step Functions, and Lambda.
• Experience with other cloud data platforms such as GCP or Azure is an advantage.
• Experience working on Big Data platform is an advantage.
• Strong business understanding, with the ability to identify business problems, define business goals, and locate relevant data.

Job type:

Full-time

• Data Engineer Manager มีบทบาทสำคัญในการออกแบบ พัฒนา และบริหารจัดการโครงสร้างพื้นฐานด้านข้อมูล (Data Infrastructure) ขององค์กร เพื่อรองรับการใช้งานด้าน Analytics, AI และ Business Intelligence โดยทำหน้าที่นำทีม Data Engineer และทำงานร่วมกับทีม Data, Product และ Business เพื่อส่งมอบโซลูชันข้อมูลที่มีคุณภาพ มีเสถียรภาพ และสามารถขยายได้ (Scalable & Reliable).
• Data Architecture & Engineering
• ออกแบบและพัฒนา Data Architecture (Data Lake / Data Warehouse / Data Pipeline)
• สร้างและดูแล ETL / ELT Pipelines เพื่อรองรับข้อมูลจากหลายแหล่ง (Structured / Unstructured)
• พัฒนา Data Models เพื่อรองรับการใช้งานด้าน Analytics และ Reporting.
• Experience - ประสบการณ์ 7-12 ปี ในด้าน Data Engineering / Data Platform - มีประสบการณ์บริหารทีม (2-5 ปีขึ้นไป) - มีประสบการณ์ทำ Data Pipeline ขนาดใหญ่ หรือระบบที่มี Data Volume สูง ________________________________________.
• Technical Skills - Programming: Python / SQL (Advanced) - Big Data Tools: Spark, Hadoop, Kafka - Workflow Tools: Airflow, DBT - Cloud Platform: AWS / Azure / GCP - Data Warehouse: BigQuery, Snowflake, Redshift ________________________________________.
• Skills & Competencies - Leadership & People Management - Problem Solving & Analytical Thinking - Stakeholder Management - Communication Skills (Technical & Non-technical) - Project / Delivery Management ________________________________________.
• Preferred Qualifications - มีประสบการณ์ด้าน Real-time Data / Streaming - มีความรู้ด้าน Data Governance / Data Security - มี Certification ด้าน Cloud หรือ Data Engineering.
• Contact Information K. Nanchanok (Recruiter)
• Email: nanchanok.r @thaibev.com
• Company name: DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
• Working Location and address: F.Y.I Center 2525 Rama IV Rd, Khlong Tan, Khlong Toei, Bangkok 10110
• MRT QSNCC Station Exit 1.

Job type:

Full-time

• The Senior Data Engineer position plays a key role in designing, developing, and managing cloud-based data platforms, as well as creating data structures for high-level data analysis, and works with business and technical teams to ensure that data management is appropriate and supports organizational goals.
• Responsible for the design, construction, and maintenance of optimal and scalable data pipeline architectures on cloud platforms (e.g., GCP, AWS, Azure).
• Oversee the development and management of complex ETL/ELT processes for data ingesti ...
• Author and optimize advanced, high-performance SQL queries for complex data transformation, aggregation, and analysis.
• Leverage the Python programming language for automation, scripting, and the development of data processing frameworks.
• Administer and optimize cloud-based data warehouse solutions and associated data lakes.
• Collaborate professionally with data scientists, analysts, and key business stakeholders to ascertain data requirements and deliver effective technical solutions.
• Provide mentorship to junior engineers and champion the adoption of data engineering best practices throughout the organization.
• Bachelor s degree or higher in Computer Science, Information Technology, Engineering, or a related field.
• At least 5 years of experience working in a data engineering or related position.
• Proficient in advanced SQL, including query optimization and performance tuning.
• Experienced in managing and designing architecture on at least one major cloud platform (Google Cloud Platform, AWS, or Azure).
• Skilled in using Python for data processing and advanced pipeline development.
• Experienced with tools and technologies for data ingestion, connectivity, and management.
• Deep understanding of data modeling principles, data warehousing methodologies, and modern data architecture.
• Excellent analytical and problem-solving skills.
• Communication and teamwork skills.
• Ability to plan and manage tasks effectively.

Skills:

ETL, Assurance, Automation

Job type:

Full-time

• Analyze business, risk, and regulatory requirements and translate them into system architecture, data models, and ETL designs.
• Design and implement data integration solutions to support Reporting platforms - Perform and oversee data transformation, validation, reconciliation, and data quality assurance to ensure accuracy and regulatory compliance.
• Design, develop, and maintain automation and monitoring scripts using Shell scripts and Batch scripts - Develop, maintain, and optimize PL/SQL objects on Oracle databas ...
• Provide L2/L3 application support, including production issue troubleshooting, impact analysis. - Coordinate with business users, risk teams, and tech teams to resolve data and system issues.
• Oversee and support production operations, batch processing cycles, and critical scheduled jobs.
• Prepare, review, and maintain technical doc (ETL design, data mapping, runbook).
• Ensure full compliance with SDLC, Security policies, Risk controls, and Regulatory standards.
• Apply now if you have these advantages.
• Bachelor s degree or higher in Computer Science / Management Information System or any related field.
• Basic ability to understand business and regulatory requirements with support from senior team members, and assist in translating them into system or data solution requirements.
• Strong ETL frameworks, data lineage, data reconciliation, and data quality management.
• PL/SQL and SQL performance tuning, including query optimization, execution plan analysis, and database efficiency improvement.
• Basic Shell scripting (Bash/KornShell) on Unix/Linux platforms and Windows Batch scripting for automation and operational control.
• Basic Unix/Linux operating systems, including system processes, job scheduling, and troubleshooting.
• Risk Authority, risk management systems, or regulatory reporting applications (Preferable).
• IBM InfoSphere DataStage for enterprise-level ETL and data integration solutions (Preferable).
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (3 days in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more.
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120
• สอบถามข้อมูลเพิ่มเติม: Talent Acquisition Center 0-2-----000.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).

Job type:

Full-time

• This role serves as a key bridge between Business Units, IT application teams, and senior stakeholders, resolving cross-functional challenges and aligning diverse priorities toward a unified enterprise solution.
• The position requires strong expertise in designing high-performance, scalable systems capable of supporting millions of transactions per day, while balancing business timelines, architectural standards, and operational constraints.
• Key Responsibilities- Lead enterprise-wide solution architecture aligned with busine ...
• Design scalable, secure, high-availability systems supporting millions of transactions per day.
• Bridge Business Units, IT teams, and stakeholders with conflicting priorities or KPIs.
• Drive As-Is analysis and lead transformation to To-Be architecture.
• Develop architecture artifacts (HLD, workflows, sequence diagrams, use cases, etc.).
• Define and enforce non-functional requirements (performance, scalability, security).
• Present solutions via Architecture Review Board (ARB).
• Ensure compliance with security frameworks, data governance, and regulatory requirements.
• Define transition strategies (phased vs. big bang) and recommend architecture trade-offs.
• Identify risks, constraints, and ensure alignment across application owners.
• Ensure the implementation/development align with architecture design that get approval.
• Qualifications & Experience- Bachelor s or Master s degree in IT, Computer Science, Engineering, or related field.
• 12-18+ years of IT experience with strong Solution/Enterprise Architecture/IT Application Owner background.
• Experience in banking, financial services, or high-volume transaction systems.
• Proven track record designing large-scale, real-time systems.
• Experience working with cross-functional stakeholders and senior leadership.
• Technical Skills- Architecture & Integration: TOGAF, Microservices, API, Event-driven architecture.
• Integration Platform: Kafka, IBM MQ, ESB, API Gateway.
• System Design: High availability, scalability, performance tuning.
• Security: SSO, OAuth2, SAML, JWT/JWE, data protection standards.
• Cloud & Infrastructure: AWS/Azure/GCP, Kubernetes/OpenShift, hybrid architecture.
• Modeling Tools: UML, sequence diagrams, architecture design tools.
• Soft Skills- Ability to work under pressure and manage multiple high-priority projects efficiently.
• Exceptional stakeholder management and communication skills, bridging the gap between business and IT teams.
• Strong problem-solving abilities, designing innovative solutions that align with business goals.
• Expertise in facilitating discussions with BAs, enterprise architects, and domain experts to drive solution decisions.
• Experience in presenting complex IT solutions to senior executives and technical committees.
• Leadership skills to oversee internal and external collaborations, ensuring successful solution delivery.

Skills:

Assurance, Automation, GraphQL

Job type:

Full-time

• Define and implement QA strategy, processes, and metrics to improve product quality and testing efficiency.
• Establish and maintain standards for API testing, automated testing, and regression coverage.
• Drive continuous improvement in test automation, CI/CD pipelines, and QA practices.
• Leadership & People Management.
• Manage and mentor a team of 13 QA engineers (manual + automation).
• Assign resources, set priorities, and monitor progress to meet project timelines.
• Conduct performance reviews, coaching, and career development planning.
• Test Execution & Automation.
• Oversee test planning, execution, and reporting across functional, regression, performance, and security testing.
• Ensure strong coverage of API testing (REST/GraphQL), automation frameworks (e.g., Selenium, Cypress, Postman, Playwright, JMeter).
• Collaborate with DevOps and Engineering teams to integrate automated tests into CI/CD pipelines.
• Collaboration & Stakeholder Management.
• Work closely with Product Managers, Developers, and Business Analysts to understand requirements and translate into test strategies.
• Communicate quality status, risks, and issues effectively to senior management.
• Advocate for quality standards across the organization.
• Bachelor s degree in Computer Science, Engineering, or related field.
• 8+ years experience in QA, with at least 3+ years in a leadership/manager role.
• Strong experience in API testing and automation frameworks..
• Hands-on experience with tools such as Postman, JMeter, Selenium, Cypress, Playwright, RestAssured..
• Knowledge of CI/CD pipelines and tools (e.g., Jenkins, GitLab CI, GitHub Actions).
• Excellent leadership, people management, and communication skills.
• Experience in performance testing, security testing, and cloud-based environments (AWS, Azure, GCP).
• Exposure to Agile/Scrum methodologies.
• ISTQB or similar QA certifications.
• Strong analytical and problem-solving skills.
• Ability to manage multiple projects and priorities.
• Coaching and mentoring mindset.
• Quality-driven and detail-oriented.
• Please note that we will get in touch with shortlisted candidates only.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
• LINKEDIN: Krungsri (http://bit.ly/LinkedinKrungsri).
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN.
• (https://krungsri.com/b/privacynoticeen).
• The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.

Job type:

Full-time

• About the Role.
• We're looking for a Data Analyst Junior or Senior to join our MarTech & Data Intelligence team. You'll work with Marketing, Operations, and Product to turn behavioral and transactional data into insights that drive campaign performance, smarter segmentation, and lifetime value growth.
• If you're sharp, meticulous, and energized by making data work harder for the business we'd love to meet you.
• Analyze customer journeys, marketing funnel performance, and campaign effectiveness across digital channels.
• Build and maintain marketing dashboards and intelligence reports to accelerate insight delivery for stakeholders.
• Develop and maintain customer segmentation models and audience definitions to support campaign, strategy, personalization, and lifecycle marketing.
• Use AI tools, prompt engineering, and LLM integrations to turn hours of reporting into minutes.
• Work with cloud data platforms to query, process, and manage large-scale customer and event datasets.
• Design and evaluate A/B tests and marketing experiments, synthesizing results into clear and actionable recommendations.
• Partner with MarTech, Marketing and Product teams to define tracking requirements and validate data from campaign and marketing platforms.
• Perform rigorous data quality checks and maintain clear documentation of metrics, data sources, and transformation logic.
• Proactively surface anomalies in customer data traffic drops, conversion shifts, attribution gaps before they affect decisions.
• Who you are.
• 3-4 years of experience in data analysis, ideally in a marketing analytics, growth, or customer intelligence function within FinTech, Banking, or Digital Products.
• Strong SQL skills able to write complex queries confidently and always validate output before sharing with stakeholders.
• Proficiency in Python or Pyspark for data wrangling, cohort analysis, and statistical testing.
• Experience in prompt engineering or LLM integrations applied to real analytics use cases.
• Familiarity with cloud platforms for querying and managing large-scale datasets.
• Comfortable using AI productivity tools to enhance reporting workflows, draft insight narratives, and speed up exploratory analysis.
• Understanding of digital marketing measurement: attribution models, funnel metrics, cohort LTV, and campaign KPIs.
• Ability to manage shifting priorities and deliver accurate work under deadline pressure.
• Clear communication skills with both technical and non-technical stakeholders.
• Contact: K.Wannaporn 02------866.
• You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.

Skills:

Automation, Big Data

Job type:

Full-time

• Define & Implement Data Strategy: Formulate, communicate, and execute the overall data strategy, ensuring its alignment with the bank's business objectives and regulatory requirements.
• Establish Data Governance: Lead the Data Governance Council (DGC) to define and enforce data governance policies, standards, and procedures. This encompasses ensuring data quality, security, privacy, and compliance with regulations like the Personal Data Protection Act (PDPA) and Bank of Thailand (BOT) guidelines across the entire org ...
• Drive Data Analytics & AI/ML Innovation: Oversee the strategic direction and execution of data architecture, data engineering, data analytics, and data science functions. You will spearhead the development and deployment of advanced AI/ML models for critical banking functions such as credit scoring, customer segmentation, marketing automation, and fraud detection.
• Manage Data Platforms & Infrastructure: Guide the deployment and localization of scalable, cloud-native data platforms (e.g., WeBank s WeDataSphere) and the design of standardized APIs to ensure seamless data sharing and integration capabilities.
• Champion Open Banking & Data Sharing: Drive the adoption and effective utilization of open banking data frameworks, establishing consent-based data sharing mechanisms to enhance customer experience and foster healthy market competition.
• Foster Data Culture & Collaboration: Cultivate a strong data-driven mindset and promote ethical data use across all departments. You will lead the Data Center of Excellence (CoE), functioning as a catalyst for cross-departmental collaboration on high-impact data projects that align with the strategic objectives.
• Talent Development & Knowledge Transfer: Collaborate with the Human Resources department to uplift and train Thai nationals in advanced data capabilities, facilitating crucial knowledge transfer from international consortium partners such as WeBank and KakaoBank.
• Data Monetization: Develop and implement sustainable strategies for data monetization while rigorously upholding ethical standards and ensuring customer trust.
• Extensive Leadership Experience: A proven track record (10+ years preferred) in senior data management, data analytics, and AI/ML leadership roles, with substantial experience in the banking, digital finance, or fintech industry, ideally within a virtual bank environment.
• Deep Technical Expertise: Profound understanding and practical experience with Big Data technologies, AI/ML methodologies, data architecture design, and comprehensive data governance frameworks.
• Regulatory & Security Acumen: Solid knowledge of data privacy regulations (e.g., PDPA) and cybersecurity best practices specifically pertaining to data handling within a financial services context.
• Strategic & Analytical Mindset: Demonstrated ability to translate complex data into actionable insights and drive strategic initiatives that significantly contribute to business growth and innovation.
• Exceptional Leadership & Collaboration Skills: Outstanding capability to lead multidisciplinary teams, influence stakeholders at all levels, and foster effective cross-functional collaboration, including working seamlessly with international consortium partners.

Skills:

DevOps, Apache, Web Services

Job type:

Full-time

• Deploy application packages to servers, copy/move files, and monitor log files to ensure successful deployment.
• Provide standby support and monitor server performance/logs during scheduled deployment windows.
• Assist in reviewing, analyzing, and remediating Vulnerability Assessment (VA) and Penetration Testing (Pentest) scan results.
• Manage, renew, and install SSL certificates for various servers and Apache Tomcat instances to ensure secure connections.
• Maintain and support infrastructure environments spanning both On-Premise data centers and Amazon Web Services (AWS)..
• Develop, maintain, and troubleshoot basic Linux shell scripts or batch files to automate routine operational tasks.
• Assist in writing or modifying application logic using Java to support system integrations or batch processing.
• Bachelor s degree in Computer Science, Computer Engineering, Information Technology, or a related technical field.
• 2 years of experience in System Administration, DevOps, or Infrastructure support.
• Familiarity with Java programming and Linux Shell Scripting (Bash/Batch).
• Good command of Linux/Unix environments and basic command-line operations (e.g., file manipulation, reading logs, process management).
• Basic understanding of Apache Tomcat or similar Java web application servers.
• Exposure to cloud platforms, specifically AWS (EC2, S3, etc.), is a strong plus.
• Basic knowledge of networking concepts, particularly SSL/TLS certificates and configuration..
• Highly motivated to learn new technologies and follow operational guidelines.
• Good analytical skills to troubleshoot basic system and script errors..
• Please note that we will get in touch with shortlisted candidates only.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
• LINKEDIN: Krungsri (http://bit.ly/LinkedinKrungsri).
• Applicants can read the Personal Data Protection Announcement of the Bank's Human ResourcesFunction by typing the link from the image that stated below.
• EN.
• (https://krungsri.com/b/privacynoticeen).
• The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.

Skills:

ETL

Job type:

Full-time

• Design and deliver cloud-native banking solutions on AWS.
• Build rapid prototypes and live demos for client engagements.
• Integrate AI and data capabilities into core banking platforms.
• The ideal candidate combines strong engineering depth, banking domain expertise, and the ability to translate ideas into working solutions quickly.
• Core Banking Transformation.
• Lending / loan origination and servicing.
• Credit decisioning systems.
• Payments, deposits, and investment platforms.
• Legacy cloud-native (rehost, replatform, refactor).
• Monolith microservices / event-driven architecture.
• Translate business requirements into scalable, secure, production-ready architectures.
• Client-Facing Demo & Prototyping (Critical Requirement).
• Build end-to-end functional prototypes and demos on AWS to showcase solutions.
• Working applications.
• API-driven services.
• AI/data-driven proof-of-value solutions.
• Solution workshops.
• Pre-sales discussions.
• Live demo sessions with business and technology stakeholders.
• Expected capability: Build a working demo (e.g., AI-powered credit workflow or customer 360 solution) within short timelines.
• AWS Cloud Engineering (Hands-on Senior Level).
• Architecture & Design.
• Microservices and event-driven patterns.
• API-first integration models.
• High availability, scalability, and resiliency.
• Security and regulatory compliance.
• Core AWS Stack.
• Compute: Lambda, ECS/EKS, EC2.
• Data: S3, Aurora/RDS, DynamoDB.
• Integration: API Gateway, Step Functions, EventBridge.
• Observability: CloudWatch and monitoring frameworks.
• DevOps & Automation.
• Infrastructure-as-Code (Terraform / CloudFormation / CDK).
• CI/CD pipelines and automated deployment.
• Ability to stand up environments quickly for demos and delivery.
• AI & Data Capabilities in Banking (Strong Preference).
• Data Engineering.
• Data lakes (S3-based architectures).
• ETL / ELT pipelines.
• Customer, transaction, credit, and risk datasets.
• Machine Learning & Analytics.
• Credit scoring and underwriting.
• Fraud detection / AML.
• Customer segmentation and personalization.
• GenAI & Modern AI.
• RAG-based solutions (e.g., document processing, KYC).
• AI assistants for banking users.
• AWS Bedrock / SageMaker / equivalent.
• LLM orchestration and vector search.
• Real-Time Decisioning.
• Real-time credit approvals.
• Fraud detection and alerts.
• Client Engagement & Thought Leadership.
• Act as a trusted technical advisor to financial services clients.
• Architecture discussions.
• Solution design workshops.
• Pre-sales and technical solutioning.
• Core banking modernization.
• Cloud + AI transformation.
• Bridge business, data, and technology stakeholders effectively.
• Banking technology / financial services IT.
• Core banking systems (lending, payments, deposits, investments).
• Core banking modernization or migration programs.
• Large-scale transformation initiatives.
• Cloud-native architecture and development.
• Microservices / distributed systems.
• Strong hands-on programming experience in Python (preferred), with the ability to build cloud-native applications, data pipelines, and rapid client-facing prototypes.
• Build working demos / PoCs under time pressure.
• Operate effectively in client-facing roles..
• Preferred Qualifications.
• Temenos, Mambu, Finacle, FLEXCUBE, nCino.
• Data engineering and analytics platforms.
• ML / GenAI use cases integrated into business workflows.
• Event-driven architecture.
• API-first ecosystems.
• Domain-driven design (DDD).
• AWS Certifications (Associate / Professional).
• Profile We Are Targeting.
• Hands-on builder (not a pure architect or program manager).
• Able to design, build, and demo solutions live to clients.
• Strong banking domain credibility.
• Bridges cloud + core banking + AI/data.
• Comfortable in pre-sales + delivery hybrid environments..

Skills:

Data Analysis, SQL, Linux, English

Job type:

Full-time

• Support incident management and assist in troubleshooting production issues; participate in Root Cause Analysis (RCA) and help implement preventive actions to reduce recurring incidents.
• Support the defect management lifecycle, including defect triage, tracking, and analysis to drive continuous improvement.
• Monitor application performance and system health using tools such as Dynatrace, and work with development teams to improve system reliability.
• Support troubleshooting and data analysis using SQL, including ad-hoc data fixes when required.
• Collaborate with teams to ensure stable operations, support system releases, user manuals, and maintain documentation.
• Participate in knowledge sharing and continuously develop technical skills and best practices.
• Effectively handle multiple tasks and work under pressure while maintaining quality.
• QualificationsBachelor's degree in Computer Science, Computer Engineering, or related fields.
• 1-3 years of experience in Application Support, Production Support, or related roles..
• Knowledge of Cloud platforms; AWS knowledge is a plus.
• Familiarity with Linux/Unix operating systems.
• Familiarity with relational databases and SQL.
• Strong problem-solving and analytical skills.
• Good communication and collaboration abilities.
• Ability to work under pressure in production environments.
• Strong sense of ownership and accountability.
• Good English communication skills.
• Please note that we will get in touch with shortlisted candidates only.
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• Applicants can read the Personal Data Protection Announcement of the Bank's Human ResourcesFunction by typing the link from the image that stated below.
• EN.
• (https://krungsri.com/bprivacynoticeen).
• The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.

Skills:

Research, Python, Finance, English

Job type:

Full-time

• Investment career: 3-6 years in investment management, sell-side / buy-side research, multiasset strategy, or a comparable markets role.
• Markets knowledge: strong grasp of asset classes, valuation, macro, and portfolio construction you can hold your own in a markets debate.
• Software dev skills: hands-on coding ability, especially Python (pandas, APIs); comfortable building scripts and small applications end-to-end.
• AI fluency: practical experience using LLMs / AI tools, and a clear sense of where they add value and where they don t.
• Education: Bachelor s in finance, economics, engineering, computer science, or a quantitative field.
• Communication: clear, concise writing and the ability to turn analysis into a story decisionmakers can act on.
• Preferred / Nice to Have.
• Credentials: CFA charter or progress toward it.
• Engineering depth: experience with SQL, Git, cloud services, or building/deploying small web apps and dashboards.
• Quant exposure: familiarity with quantitative methods, backtesting, or signal research.
• Language: Thai-English bilingual ability for local client and stakeholder work. What Success Looks Like (First 12 Months).
• By month 3: trusted contributor to the house view, owning part of the regular research output.
• By month 6: shipped at least one AI/automation tool that saves the team meaningful time each week.
• By month 12: recognised as the go-to person bridging investment strategy and AI tooling for the CIO office.
• Note: Title, level, and compensation are indicative and can be adjusted to the candidate s experience.
• Contact: K.Jiracha 02-----871.
• You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.

Skills:

English

Job type:

Full-time

• Define and lead end-to-end AI architecture for enterprise programs from LLM / GenAI solutions to MLOps platforms and data foundations.
• Serve as the primary AI technology advisor to C-suite and senior client stakeholders, translating business challenges into scalable AI solutions.
• Architect AI systems leveraging hyperscaler platforms (AWS, Azure, GCP) including cloud-native AI/ML services, vector databases, and foundation model APIs.
• Lead technical pre-sales: shape proposals, respond to RFPs, and present solution architectures to clients.
• Manage and mentor a team of AI engineers, data scientists, and solution architects across client engagements.
• Drive practice development define AI delivery frameworks, reusable assets, and capability-building programs.
• Collaborate with Accenture global AI CoEs, Applied Intelligence teams, and alliance partners.
• Ensure responsible AI principles, security, and governance are embedded throughout solution design.
• 12+ years of experience in technology consulting or enterprise IT, with at least 5 years focused on AI/ML architecture and delivery.
• Proven track record architecting and delivering production-grade AI solutions LLMs, RAG pipelines, agentic AI, computer vision, or predictive analytics.
• Deep hands-on knowledge of AI/ML frameworks.
• Strong experience with hyperscaler AI platforms: Azure OpenAI Service, AWS Bedrock, Google Vertex AI, or equivalent.
• Experience leading large multi-disciplinary teams and managing complex, multi-million dollar client programs is a big plus.
• Excellent communication skills able to present technical concepts to executive audiences in Thai and English.
• Bachelor's or Master's degree in Computer Science, Engineering, or related field.