Senior Data Engineer

Duties & Accountabilities

  • Apply data engineering practices and standards to develop robust and maintainable data pipelines.
  • Analyze and organize raw data ingestion pipelines.
  • Evaluate business needs and objectives.
  • Support senior business stakeholders in defining new data product use cases and their value.
  • Take ownership of data product pipelines and their maintenance.
  • Explore ways to enhance data quality and reliability, be the “Quality Gatekeeper” for developed Data
  • Adapt and apply best practices from the Data One community.
  • Be constantly on the lookout for ways to improve best practices and efficiencies and make concrete
  • Take leadership and collaborate with other teams proactively to keep things moving.
  • Be flexible and take on other responsibilities within the scope of the Agile Team.


  • Minimum 7 years of relevant work experience in data-related roles (e.g., Data Engineer/Data Architect).
  • At least 2-3 years of DB/ETL development experience, Talend and DBT preferred.
  • Bachelor’s/Master’s degree in Computer Science, Information Technology, Software Engineering, or
    related field.
  • Technical expertise with Data Modeling techniques (Data Vault).
  • Advanced expertise with ETL tools (Talend, Alteryx, etc.).
  • Advanced SQL programming experience. Python is a plus.
  • Previous experience with Agile methodologies in Software Development.
  • Previous experience working with Data Transformation Tools like DBT.
  • Previous experience with DevOps, DataOps practices (CI/CD, GitLab,
  • Hands-on experience with Snowflake.
  • Experience with the lifecycle management of data products.
  • Knowledge of Data Mesh and FAIR principles.
  • Certification is a plus.
  • Open to working on EMEA time zones.
Job Type: Contract (12 Months)
Job Location: Puchong Jaya

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