Staff-Lead Data Engineer (Bangkok Based - Relocation Included)

The role is a hands-on technical leadership position at the intersection of data engineering, business analytics, ML engineering, and backend engineering. The team builds pipelines and platforms to support Data Science and Performance Marketing teams in running production experiments at scale. The position requires end-to-end ownership of systems that enable rapid experiment launches and involves working with structured and unstructured data at massive scale.

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

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)

Expert in software design/design patterns/best practices, and both functional and object-oriented programming

Comfortable across a modern data/ML stack: Python3, Scala Spark, Hadoop, SQL, S3, and similar

Familiar with general machine learning concepts and common models (e.g. regularization, tree models)

Familiar with core statistical analysis concepts (e.g. p-value, z-score)

Strong analytical problem-solving capabilities and a data-driven engineering mindset