Enterprise Data Engineer at Optiver

Amsterdam, North Holland, Netherlands

on-site · full-time · Visa sponsorship

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Responsibilities:
- Design and build scalable, maintainable ELT pipelines using dbt, SQL and PySpark on Databricks.
- Create curated data models and semantic layers that standardize KPIs across Finance, People and Ops.
- Implement data quality, lineage and access controls (testing, CI/CD, role-based access) to ensure trusted datasets.
- Collaborate with business stakeholders to translate requirements into reusable data products and metrics.
- Deliver data products for BI and self‑service analytics and iterate based on user feedback.
- Contribute to platform best practices: naming conventions, testing frameworks and deployment pipelines.

Requirements:
- Experience in Data Engineering or Analytics Engineering with hands-on SQL and dbt expertise.
- Practical knowledge of Databricks or equivalent Lakehouse platforms and PySpark for large-scale processing.
- Familiarity with dimensional/medallion/datavault modeling patterns and semantic layer design.
- Understanding of data governance, testing, lineage and role‑based access controls.
- Strong communication skills and experience working directly with non-technical business stakeholders.