Bangkok, Thailand
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Listing record updated: October 21, 2026. We archive records after 60 days without an update. This date does not confirm that the employer is still hiring.
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A large-scale technology organisation is hiring a Lead/Staff Data Engineer to join a high-impact team at the intersection of data engineering, business analytics, ML engineering, and backend engineering. The team builds pipelines, platforms, and tools that enable Data Science and Performance Marketing teams to run experiments in production at scale. The role involves end-to-end ownership of systems that allow experiments to launch in production at pace, partnering with experienced engineers and product owners.
Candidates need a Bachelor's degree in Computer Science or a related field, 6+ years of software engineering experience including 4+ years in data/ML engineering, and expert-level skills in SQL, Python3, and a JVM-based language (Java or Scala). Familiarity with machine learning concepts, statistical analysis, and modern data/ML stacks (Spark, Hadoop, S3) is required. Relocation sponsorship is provided.
Provide technical leadership in improving the scalability, quality, accuracy, speed, and efficiency of existing data and ML processes
Analyze data to support better business decision-making
Design, build, and test tools, libraries, pipelines, and platforms that help Data Science and Business teams launch experiments in production
Partner with experienced engineers and product owners to identify and build tools that automate large-scale data management, analysis, and ML tasks
Take end-to-end ownership of systems that enable rapid experiment launches in production
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
6+ years of software engineering experience, including 4+ years specifically in data/ML engineering
Expert in designing, writing, and maintaining data pipelines and systems while ensuring data quality
Expert-level SQL, Python3, and a JVM-based language (Java or Scala)
Comfortable across a modern data/ML stack: Python3, Scala Spark, Hadoop, SQL, S3, and similar
Good understanding of Hadoop ecosystems and Big Data architecture
Experience with Scala/Scala Spark development
Comfort working in an agile, test-driven environment
Linux systems administration skills
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