Data Engineer
Posted Updated 2
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Summary
Data Engineer building and maintaining data pipelines, ETL processes, and BI dashboards in a Singapore office, working with SQL, transformation frameworks like dbt/Apache Spark, and tools such as Power BI or Tableau to turn messy multi-source data into reliable analytics.
We're Hiring: Data Engineer!
We're looking for a skilled and motivated Data Engineer to join our growing team in Singapore. The ideal candidate will have at least 3 years of experience working with data pipelines, databases, and analytics platforms. If you are passionate about building scalable data solutions and driving business insights, we want to hear from you!
Location
Singapore, Singapore
Work Mode
Work from Office
Role
Data Engineer
What You'll Do:
- Design, build, and maintain reliable data pipelines
- Develop ETL processes to collect and transform large datasets
- Collaborate with analysts and stakeholders to deliver actionable insights
- Optimize database performance and ensure data integrity
- Integrate data from multiple sources for unified analytics
What We're Looking For:
- Minimum 3 years of experience in data engineering, analytics engineering, or business intelligence development
- Strong proficiency in SQL and experience with data transformation frameworks (e.g., dbt, Apache Spark, or equivalent)
- Hands-on experience building dashboards and visualizations with BI tools (e.g., Power BI, Tableau, Grafana, Superset, or platform‑native tooling)
- Experience designing data models for operational or analytical use cases star schemas, entity resolution, or graph-based asset relationships
- Ability to work with messy, heterogeneous data from multiple sources and produce clean, reliable outputs
- Understanding of data quality practices including validation, deduplication, lineage, and monitoring