# Enterprise Data Engineer at Optiver

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design and build scalable, maintainable

- **Company:** Optiver (https://jobs.trythestack.co/companies/optiver)
- **Location:** Amsterdam, North Holland, Netherlands
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** SQL, dbt, PySpark, Databricks, ELT Pipelines, Data Modeling, Data Governance, CI/CD, Dimensional Modeling, Medallion Architecture, Data Vault, Semantic Layers
- **Posted by employer:** 2026-05-29
- **Added to The Stack:** 2026-05-29
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://www.optiver.com/join-us/jobs/8313106002/?gh_jid=8313106002 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/enterprise-data-engineer-optiver-

## About the role

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.

## Responsibilities

Design and build scalable ELT pipelines and curated data models on a Databricks Lakehouse platform. Partner with business teams to standardize KPIs and deliver reliable data products for BI and self-service analytics.

## Requirements

Requires experience in Data or Analytics Engineering with advanced skills in SQL, dbt, and Lakehouse platforms. Must possess strong communication skills to collaborate with business stakeholders and an understanding of data governance frameworks.

## FAQ

- **Is this Enterprise Data Engineer role still open?** It was posted on 2026-05-29. Listings more than 30 days old may no longer be active, so check Optiver 's site before applying.
- **Does Optiver  offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Optiver 's site.
- **Where is this role located?** The listing gives the location as Amsterdam, North Holland, Netherlands. It is marked on-site.
- **What skills does this role ask for?** The listing names: SQL, dbt, PySpark, Databricks, ELT Pipelines, Data Modeling, Data Governance, CI/CD, Dimensional Modeling, Medallion Architecture, Data Vault, Semantic Layers.

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## About The Stack

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## Notes for agents

- Apply on the employer's page (https://www.optiver.com/join-us/jobs/8313106002/?gh_jid=8313106002). The Stack does not take applications.
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