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Skills:

Software Development, DevOps, Project Management

Job type:

Full-time

• Comfortable in a client-facing role with the ambition to lead teams.
• Likes to distill complex results or processes into simple, clear visualizations.
• Explain sophisticated data science concepts in an understandable manner.
• Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience).
• Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data.
• Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients.
• Have strong project management skills.
• What You'll Bring.
• Master s Degree or PhD with significant relevant experience providing advanced analytics solutions. The degree should be in computer science, applied mathematics, statistics, machine learning, or a related data centric field.
• Demonstrated deep technical and data science expertise, acute strategic and analytical skills, ability to lead and persuade, drive and energy, and desire to work in a project-based environment on strategic issues.
• Comfortable in a client-facing role with the ambition to lead teams.
• Likes to distill complex results or processes into simple, clear visualizations.
• Explain sophisticated data science concepts in an understandable manner.
• Strong record of professional accomplishment and leadership.
• Fluency in Python.
• Additional info.
• Ability to travel based on client and business needs.
• We are hiring across all experience levels.
• Fluency in Thai is preferred; strong English communication skills are also required.
• Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
• BCG is an E - Verify Employer. Click here for more information on E-Verify.

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.

Job type:

Full-time

• ปรับปรุงฐานข้อมูลเชิง Engineering และวิเคราะห์ข้อมูล เพื่อให้เกิดประสิทธิภาพและความเสถียรภาพ ของอุปกรณ์การผลิต.
• พัฒนาโมเดลทำนายความเสียหายของเครื่องจักร เพื่อให้ทีมซ่อมบำรุงวางแผนซ่อมบำรุงล่วงหน้า (Predictive Maintenance).
• วิเคราะห์และปรับปรุงเส้นทางการขนส่ง ทางบกและทางน้ำ เพื่อให้มีประสิทธิภาพสูงสุด และ ลดต้นทุน.
• สร้างเครื่องมือวิเคราะห์ เพื่อช่วยในการ บริหารสต็อกน้ำมันและการจัดสรรผลิตภัณฑ์ ไปยังคลังได้อย่างเหมาะสม.
• ดูแลโมเดลทั้งหมด ตั้งแต่การพัฒนา, การทดสอบ, การนำไปใช้จริง, ไปจนถึง การติดตามและปรับปรุง ให้ทำงานได้ดีเสมอ.
• สร้างระบบ (Data Pipeline) ด้วยโค้ด Python และ SQL เพื่อเตรียมข้อมูลขนาดใหญ่สำหรับการวิเคราะห์.
• ทำงานร่วมกับวิศวกร เพื่อนำเสนอผลลัพธ์ที่ซับซ้อนให้เป็น ข้อมูลเชิงลึกที่นำไปใช้ได้จริง ผ่านเครื่องมือ Power BI.
• ปริญญาตรี / โท ในสาขา Data Science, สถิติ, วิทยาการคอมพิวเตอร์, วิศวกรรมศาสตร์, คณิตศาสตร์ประยุกต์.
• 1-3 ปีขึ้นไป ในบทบาท Data Scientist, Data Analyst, หรือ Machine Learning Engineer โดยมีประสบการณ์ในการทำงานกับ Big Data และ การนำโมเดลไปใช้งานจริง.
• เขียนโค้ด Python ได้คล่อง เพื่อใช้ในการวิเคราะห์ข้อมูลและสร้างโมเดล.
• ดึงและจัดการข้อมูลขนาดใหญ่ จากฐานข้อมูลต่าง ๆ ได้อย่างมีประสิทธิภาพด้วย SQL.
• สร้างและนำโมเดล Machine Learning ไปใช้จริงในระบบ เพื่อสร้างผลลัพธ์ทางธุรกิจ.

Experience:

3 years required

Skills:

Industry trends, SQL, NoSQL, English

Job type:

Full-time

• Design and work on all aspects of bringing ML models into production, develop CI/CD pipelines by collaborating with other disciplines such as data engineering, application development, cloud infrastructure, and security to implement AI solutions in production.
• Work collaboratively with data scientists along the machine learning lifecycle from data pipeline, data preparation, model deployment, and model monitoring.
• Understand and assess AI/ML industry trends to leverage technologies, continuously i ...
• Provide architectural and technical leadership to drive AI/ML capabilities.
• Initiate innovation and development projects to continuously improve the overall efficiency of the team in the engineering aspect.
• Professional Knowledge & Experiences.
• Degree in computer science or related fields, with concentration in Machine Learning/AI engineering.
• At least 3 years of experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, Neural Networks, etc.). Expertise with Data Science and experience with manipulating/transforming data, model selection, model training, and deployment at scale.
• Knowledge and experience in database technologies, such as SQL, NoSQL, and demonstrate knowledge of databases (Google BigQuery preferred), Data ETL framework (Airflow), ML libraries (scikit-learn, XG Boost, PyTorch, etc.), ML Frameworks (Kubeflow, MLFlow, etc.).
• Knowledge and experience in Kubernetes technology. Be able to develop CI/CD pipeline, deploy workloads, configure and monitor jobs on kubernetes clusters.
• Significant proficiency in Python. Experience working with GCP is preferrable.
• Ability to work in cross functional teams, have team-work mindset, self-motivation.
• Excellent written and verbal communication skills in English.
• Additional Desirable Qualification.
• Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions.
• Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.).
• CORE Competencies.

Experience:

1 year required

Skills:

ETL, DevOps, Automation, English

Job type:

Full-time

• Design, implement, and optimize end-to-end data platforms on Azure and Databricks, covering storage, compute, security, and governance.
• Design and manage curated data layers and analytical datasets to support reporting, self-service BI, and advanced analytics use cases.
• Build, maintain, and monitor scalable batch and streaming ETL/ELT pipelines using Databricks, Spark, and Azure services such as ADF and Synapse.
• Develop reusable, version-controlled Databricks notebooks and workflows, implementing robust data transformation, cleansing, and validation logic.
• Establish and enforce data quality, lineage, security, and governance practices across the Databricks platform, ensuring compliance with regulatory requirements.
• Collaborate with cross-functional teams (architects, data engineers, BI developers, data scientists, and business stakeholders) to align solutions with business objectives and drive continuous improvement.
• Establish data quality, lineage, and governance practices across the Databricks platform.
• Collaborate with data analysts, BI developers, and data scientists to deliver analytical datasets.
• Undegrading of DevOps practices such as CI/CD automation and version control to streamline deployment and management of Databricks workflows.
• Excellent stakeholder and pre-sales skills: translating requirements into architectures and leading solution design.
• Requirements:Minimum 10-12 years of experience.
• Possess 8+ years in solution, architecting, design and development experience in enterprise/ architecture projects in Azure / Databricks.
• Experienced in managing full development lifecycle phases, designing enterprise software and defining solution architectures and technology.
• Designing and integrating applications and SaaS solutions using technology stacks and cloud service providers, such as Microsoft (e.g. Azure, power BI,Tableau),.
• BI service support components (e.g. Data warehouse, extract-transform-load processes, databases).
• Azure Data Factory, Azure Databricks, Hadoop Exposure.
• Strong verbal and written communication, presentation and collaboration skills. Good relationship building skills are necessary, including the ability to build a rapport and communicate effectively with all levels of the customer.
• Good command over verbal and written English.
• Strong Azure cloud and data services design (ADLS, networking, security, Synapse, Key Vault).
• Deep Databricks lakehouse expertise (Delta Lake, Unity Catalog, Spark performance tuning).
• Advanced data engineering with Spark and Azure-native orchestration (ADF/Synapse pipelines).
• E2E integration experience (Hybrid cloud model).
• Robust data governance, security, and compliance design, especially for regulated industries.
• Continued learning certifications, at least one of the following: Microsoft Azure Solutions or Databricks.
• Cloud [Software] Systems Engineer, Customer Solutions Engineer [Cloud / Data, Analytics/AI] or combination of experience as DevOps Engineer, Data Architect, Cloud/SaaS Software Developer.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.
• Requisition ID: 113275In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

Skills:

node.js, Golang, Python

Job type:

Full-time

• Lead and mentor a team of engineers, fostering a collaborative, high-performance environment.
• Partner with product managers to understand user needs and align the team s efforts with product goals.
• Design, develop, and maintain software systems across the stack (frontend, backend, mobile, and infrastructure).
• Experiment with new tools, frameworks, and methodologies to discover innovative solutions.
• Optimize services for performance, scalability, and maintainability.
• Develop intuitive user interfaces using frameworks like React (Next.js) and Svelte (SvelteKit).
• Build and maintain robust backend services with Node.js, Golang, Elixir, or Python.
• Contribute to mobile app development using Flutter.
• Ensure infrastructure stability and scalability using Kubernetes, Docker, and cloud platforms (GCP, AWS).
• Take a proactive role in code reviews, offering and receiving constructive feedback.
• Advocate for and implement high-quality testing practices, including unit and integration tests.
• Collaborate with cross-functional teams to integrate new tools and technologies effectively.
• Basic Qualifications.
• Backend languages (e.g., Node.js, Golang, Elixir, Python).
• Frontend frameworks (e.g., React, Svelte).
• Mobile development tools (e.g., Flutter).
• Focus on making the product successful and helping users achieve their goals, not just completing tasks.
• Have experience with Docker, Kubernetes, and cloud infrastructure (GCP, AWS).
• Be familiar with CI/CD pipelines and source control tools like GitHub.
• Understand database systems like PostgreSQL.
• Have a scientist mindset curious, experimental, and open to learning from failure.
• Possess strong communication skills and thrive in collaborative Agile environments.
• Be self-motivated, adaptable, and team-oriented, with a strong work ethic.
• Preferred Qualifications.
• Proficiency in at least one backend language, one frontend framework, and mobile development tools.
• A passion for turning our vision into reality and contributing to its success.
• An eye for design and a passion for user-centric product development.
• A deep understanding of product success metrics and a drive to contribute to them.
• Strong system design skills, including the ability to make logical, long-term trade-offs.
• The ability to adapt to a fast-paced, rapidly changing environment, driven by our vision to make an impact.
• Perks & Benefits.
• Flat Structure As we continue to grow fast, we strive to retain our culture where everyone is heard, contributes, and grows with the company..
• Work-life Harmony We believe that quality time outside of work is important to sustaining a healthy and happy lifestyle.
• Remote Work Hybrid-mode activated! It comes with the package: flexibility, focus and productivity!.
• Urban Office One breath from Phrom Phong BTS. No sweat whatsoever! The office should also feel like a second home so we dedicated a lot of care and resources into building the best environment for you to wake up to every morning.
• Fun Workshop The best relationships are built over new experiences, that s why we have workshops filled with a range of activities for you to look forward to and enjoy.
• Game Tournament It s getting fun and competitive! Challenge doesn t only have to come from work. Own the championship and show the peeps how great of a gamer (and player) you are.
• Group Insurance Health comes first, we know, don t worry, we ve got you covered.
• Health & Wellness Only a healthy army wins the war. We invest to take care of you from physical, mental and happiness-level. Adopted health & wellness applications plus activities to make sure everyone here is on cloud nine

Experience:

5 years required

Skills:

Digital Marketing, Big Data, Quantitative Analysis

Job type:

Full-time

• Digital Transformation & Strategy: Helping clients rethink the impact of digital on their business and accelerate their transformation efforts.
• Emerging Technology Topic Advisory: including Cloud, Blockchain/Crypto/DeFi, Metaverse/Web3.
• Customer Centricity: Reinventing the customer experience, leveraging journey maps, deep customer empathy, and data to create transformative digital interfaces, marketing strategies, and process innovations.
• Digital Marketing & Personalization: Optimising digital marketing programs across all digital channels and levers, including precision marketing, and analytics-enabled, one-to- one personalization.
• Big Data & Analytics: Driving transformational value through cutting-edge applications of AI and Machine Learning tools that are fully scaled into the business.
• New Ways of Working: Building ongoing organisational change capabilities, and helping clients transform into digital enterprises that continue to develop and innovate with speed, at scale.
• Transformation of the Technology Function and Technology Build: Redesigning technology functions to improve flexibility, efficiency, and Business-IT alignment.
• What You'll Bring.
• A minimum of 5 years of work experience within strategy and digital fields, including product management, digital marketing & analytics, and/or designing & delivering world-class software products, in leading digital companies and/or start-ups.
• Established record of driving strategic digital transformation and topics with value creation in mind.
• History of building credibility and relationships with leaders, technical and non-technical people to align on strategy, inspire stakeholders, and execute on a day-to-day basis. The ability to work with and lead multi-disciplinary teams including engineers, architects, data scientists-or whatever is required to solve the client's challenge-will be vital to success.
• Advanced quantitative analysis, solid business acumen and problem- solving ability.
• Excellent communication skills; able to explain complex industry concepts in non-technical terms.
• Bachelor's degree preferably in an IT/Computer Science, Engineering or related discipline.
• MBA, Masters or PHD will be highly regarded.
• Flexibility to travel within SEA region.
• Candidates with lesser experience will be considered at the Associate level.
• Additional info.
• What Can A Career At BCG Offer You?.
• An opportunity to innovate and change: We have a legacy of developing deep insights and game-changing ideas and our case teams take ideas from all levels in order to deliver breakthrough insights to our clients.
• Training and mentoring: We embed mentorship and apprenticeship throughout your time at BCG. You will have a support system of career development advisors, the guidance of project leaders, and partnership with your colleagues and teammates at every turn.
• A collaborative approach: You will join a growing team of talented individuals, operating and learning from people with a diverse and broad set of backgrounds.
• Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
• BCG is an E - Verify Employer. Click here for more information on E-Verify.

Experience:

8 years required

Skills:

Data Warehousing

Job type:

Full-time

• Intermediate certification on at least 1 cloud ecosystem and 1 data related cloud technology.
• Advanced knowledge of security for cloud computing.
• Expert level skills for Informatica services and product capabilities in respective major or area of focus.
• Ability to engage VP/Director customer personas.
• Credibility with data engineers, data scientists, and other technical personas.
• Expert storytelling and presentation skills across multiple horizontal and vertically specific use cases.
• Advanced technical knowledge of hybrid deployment of software solutions, data warehousing, database, and/or business intelligence software concepts and products.
• Strong written and verbal communication skills.
• Ability to create and execute on a strategic technical account plan.
• ESSENTIAL DUTIES.
• Proactive learner.
• Manage customer engagements independently.
• Responsible for sharing best practices, content, and tips and tricks, and competitive intelligence for major or area of focus across area or theater.
• Stay current on certification of services required for area of responsibility.
• Perform all activities leading up to the delivery of a customer demo with no assistance including discovery, technical qualification/fit, customer presentations, demos, and related customer facing communication.
• Create and deliver customized demos.
• Conduct technical workshops with customers.
• Lead RFP responses and POC s.
• Partner with the CSM team on nurture activities including technical advisory, workshops, etc.
• Provide customer feedback on product gaps using Vivun.
• Ability to support demos at marketing events independently.
• Ability to create and present new customer demos for new use cases with minimal assistance.
• Present existing EBC content.
• EDUCATION & EXPERIENCE.
• 8+ years of relevant experience in data integration, master data management, or data governance.
• 10+ years of presales/technical sales or consulting experience.
• BA/BS or equivalent educational background is preferred.
• LI-Y.
• Unleash Your Potential.
• When you join Salesforce, you ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future but to redefine what s possible for yourself, for AI, and the world.
• Accommodations.
• If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
• Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
• Posting Statement.
• Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.