Design and implement data products for non-technical stakeholders, build scalable ELT pipelines, and deliver data products that power BI and self-service analytics. 4+ years of Data Engineering or Analytics Engineering experience required. Advanced Python, SQL, and dbt skills necessary.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Enterprise Data Engineer – Amsterdam
We're recruiting on behalf of a leading global trading firm in Amsterdam that's building their next-generation Enterprise Data Platform on Databricks Lakehouse. This is a rare opportunity to join at the ground level and shape how a world-class organization uses data.
The Role
As an Enterprise Data Engineer, you'll design curated data models, pipelines, and metrics that make data a trusted asset across Finance, People, and Business Operations.
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What You'll Do
- Transform business requirements from non-technical stakeholders (i.e. CFO, HR, Operations etc.) into data products that help with decision making
- Build scalable ELT pipelines using dbt, SQL, PySpark, and Databricks
- Design curated models and semantic layers to standardize KPIs
- Implement governance and quality checks (lineage, testing, access controls)
- Deliver data products that power BI and self-service analytics
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Who We're Looking For
Interested in relocating to Netherlands? Check out our comprehensive Relocation Jobs in Netherlands page with detailed relocation packages and benefits.
- 4+ years of Data Engineering or Analytics Engineering experience, ideally with Finance/People/Ops data
- Experience creating data products for non-technical stakeholders
- Advanced Python (PySpark), SQL and dbt skills with analytics modeling experience (dimensional, medallion, vault)
- Hands-on Databricks or Snowflake Lakehouse platform experience
Our client is able to provide visa sponsorship and relocation assistance for the right candidate.
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