As a Senior BI Developer, you will be a key individual contributor building trusted data products for Agoda’s technology organization, including curated datasets, metrics, dashboards and visualizations, and scalable data transformations. You will work closely with engineers, engineering managers, team leads, and senior leadership to help the organization make better decisions with data. This role combines analytics, metrics definition, and stakeholder consulting with hands-on data engineering and development IN THIS ROLE, YOU’LL GET TO • Act as a partner and consultant to engineering managers and leaders: translate stakeholder and engineering questions into measurable metrics/information such as developer velocity, cost efficiency, and code quality, and keep those definitions consistent across reports. • Design, build, and maintain ETL/ELT transformations, including Spark/Python workflows and warehouse models, so data is accurate, timely, tested, and fit for reporting. As a Senior, review others’ pipeline and metric work, raise delivery standards, and unblock the team. • Analyze large datasets with SQL and Python to support engineering and operational decisions. • Design and maintain dashboards and visual reports so engineering managers and leaders can explore metrics (for example developer velocity, cost efficiency, and code quality) without a ticket for every chart. • Improve data reliability through validation, quality checks, observability, production troubleshooting, and query performance tuning. Own published metrics: explain filters and grain, flag numbers that should not be trusted, and recommend next steps. • Use AI tools (for example Cursor, Claude, or similar) to accelerate SQL development, testing, refactoring, analysis, pipeline work, and documentation, and reject unsafe or unverified output before it reaches production or stakeholders. WHAT YOU’LL NEED TO SUCCEED • 5+ years in business intelligence, analytics, and/or data engineering, with experience in both stakeholder consulting and hands-on pipeline or data-product work. • Advanced SQL (joins, window functions, and performance on large datasets). • Strong Python skills (or similar) for building data pipelines. • Experience with ETL/ELT and orchestration (for example Kubeflow or similar). • Strong analytical thinking: comfortable framing business questions, exploring data, and turning results into clear insights. • Experience building dashboards or visual reports for stakeholders. • Ability to switch context between stakeholder discussions and hands-on technical work — metrics definition/analysis one day, ETL or data modeling the next. • Practical AI-assisted development: generate, review, test, and own the result. You can explain what you trusted AI to draft and what you verified yourself. • Clear written and verbal English, and the ability to work independently with engineers and leaders in an agile environment. IT’S GREAT IF YOU HAVE • Experience with software-delivery practices such as Agile/Scrum and CI/CD (GitHub Actions, GitLab CI, or similar). • Interest in developer productivity or engineering analytics. • Experience with common data platforms / big data technology (e.g., BigQuery, Snowflake, Redshift, Hive, Spark, Vertica, StarRocks, or similar). • Hands-on experience with visualization or data-serving UIs such as Apache Superset, Tableau, or a lightweight web app. • Experience building APIs or internal data products beyond dashboards, not only ad-hoc analysis. • A degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
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Sertis, an ASEAN data and AI engineering company based in Bangkok, is hiring a Data Engineer Intern to support real-world data pipeline projects. The intern will work with experienced data engineers to collect, transform, and organize data from multiple sources, implement ETL processes, and monitor infrastructure performance. The role offers hands-on exposure to data engineering for AI/ML use cases, containerization technologies, and collaboration with an international team. Candidates should be pursuing a Bachelor's degree in Computer Science or a related field, with knowledge of SQL and Python. Basic familiarity with Docker, containerization, and big data tools such as Spark, Hadoop, or Hive is expected, along with an interest in public cloud technologies and the ability to learn new technologies quickly.
CP Axtra (Makro Pro) is hiring a Data Engineer to design, implement, and maintain data infrastructure and pipelines. The role focuses on building scalable data pipelines and ETL processes, optimizing data warehouses and data lakes, and ensuring data quality, consistency, and reliability across data systems. The engineer will collaborate with data scientists, analysts, and cross-functional stakeholders to meet data requirements, develop data models and schemas, implement security and access controls, optimize query performance, and evaluate new data technologies. The position also involves mentoring junior data engineers and providing technical leadership.
Makro Pro is looking for a Senior Data Engineer to design, implement, and maintain data infrastructure and pipelines. The role involves collaborating with data scientists and analysts to ensure efficient data processing and storage solutions. The candidate must have a 'get things done' mindset and provide technical leadership.
Makro Pro is looking for a Senior Data Engineer to design, implement, and maintain data infrastructure and pipelines. The role involves collaborating with data scientists and analysts to ensure efficient data processing and storage solutions. Key duties include developing scalable data pipelines and ETL processes, optimizing data storage solutions like data warehouses and lakes, and ensuring data quality and consistency. The candidate will also provide technical leadership by mentoring junior engineers and integrating new data technologies.
Sertis, a Bangkok-based data and AI engineering company, is hiring a Data Engineer Intern to gain hands-on experience building and supporting data pipelines for real-world projects. Working alongside experienced data engineers, the intern will collect, transform, and organize data from different sources and learn how reliable data systems support analytics and AI solutions. Key duties include implementing ETL processes, selecting and integrating big data tools, monitoring performance, and solving business challenges using large structured and unstructured data. Candidates should be studying a Bachelor's degree in Computer Science or a related field, with knowledge of SQL and Python, basic Docker/containerization and big data technology exposure, and good communication skills.
Deloitte is seeking a graduate analyst for its Engineering, AI & Data portfolio in Thailand. The role supports project teams applying emerging technologies to help clients use data for actionable insights and business outcomes, while collaborating with consulting teams on practical and visionary client solutions. The analyst helps design data structures, analytical models, and BI/DW reporting solutions; supports data integration, governance, data quality, MDM, and metadata management; and applies predictive models using tools such as DataRobot, Python, or R. Candidates must be final-year students or recent graduates with up to two years of experience, a relevant degree, programming proficiency, and an understanding of AI and machine learning.
UOB (Thai) Public Company Limited is hiring a Data Analytics Manager for its Bangkok City Area operations. The role involves collaborating with stakeholders to translate business needs into technical specifications, designing and developing scripts on HUE Cloudera, and conducting UAT and production deployment. Responsibilities include collecting and analyzing large datasets using Power BI, Hue, Impala, and Hive, building dashboards, designing data models and algorithms, performing data integrity audits, and maintaining SQL queries and Power BI dashboards to support management decision-making. The position requires a Bachelor's or higher degree in Data Science, Computer Science, Statistics, or a related field, plus at least 5 years of banking sector experience. Candidates must be proficient in SQL, Python, R, Excel, and Power BI, with strong analytical, communication, and collaboration skills, and fluency in written and spoken English.