Data Engineer (Strategic Finance)

Singapore, Singapore Full-time

GO-JEK International Strategic Finance is looking for a Data Engineer to join us

The International Strategic Finance function supports the regional expansion efforts of the organisation. We are looking for a Data Engineer to build and maintain the data infrastructure required for this, working in close collaboration with the HQ Business Intelligence function.

GO-JEK has a continuously evolving our data infrastructure, which includes Google Cloud Platform (especially Pub/Sub) and Kafka, and data processing tools such as BigQuery, Airflow, Flink and Spark. You will also be using Airflow as a scheduler and dependency management solution, and Google Deployment Manager & Docker for provisioning and application management solution. You will be exposed with tons of new data processing tools and we are VERY open if you want to explore or experiment with any new tool or architecture design.


  • Become a bridge between StratFin, HQ BI, and local market BI to support the delivery of all financial data infrastructure needs
  • Productionise ETL jobs with the standardized scripts and tech stack from HQ’s BI engineers
  • Monitor Production & actively and independently debug issues in Production
  • Research and conduct POC on the tech stack to improve current infra and data pipelines with HQ’s BI engineers
  • Collaborate with HQ BI and local BI to share best practices, in terms of engineering and workflow, and standardise those practices throughout the region
  • Have data quality, data cataloging and data management in mind with every development
  • Diligent in documenting any development which can easily be shared with engineers in your team or other local/HQ teams

Minimum qualifications

  • Expert in SQL and Data Warehouse Concepts
  • Expert in at least one programming language, especially Python, Shell, Java, or Scala
  • Knowledgeable about data modelling, data architecture and data governance
  • Proficient in Batch data processing
  • Familiar in real-time data processing
  • Familiar with Google Deployment Manager, Ansible, and Docker
  • Understand the value of collaboration within teams and be customer oriented and result oriented
  • Interested in being the glue between engineering and analysis
  • 1+ year experience as a Data Analyst or Data / Software Engineer

Preferred qualifications

  • Experience with financial reporting and SAP
  • Data processing with Beam
  • Data visualization with Tableau and Metabase

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