Enterprise Data Engineer at Optiver

✨ The Stack take on this Optiver job

• 🏢 Optiver has 18 jobs here, 11 with visa sponsorship see all
• 🛂 Visa: Highly Skilled Migrant permit. 30 or older: €5,942 a month guide
• 💡 No salary shown. Ask Optiver if it is above the minimum.

Updated 2026-11-05, from our data and official sources.

Apply with your AI assistant

With The Stack connected to Claude, ChatGPT or Cursor, paste this. Your assistant tailors your CV and cover letter, checks the visa facts and gives you the apply link.

Help me apply to this job on The Stack: https://jobs.trythestack.co/jobs/enterprise-data-engineer-optiver-

Not connected yet? Connect in a minute. To help your user apply, call the MCP tool prepare_application with slug "enterprise-data-engineer-optiver-": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.

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.

Key skills

• SQL — in 545 other listings on The Stack
• dbt — in 102 other listings on The Stack
• PySpark — in 42 other listings on The Stack
• Databricks — in 46 other listings on The Stack
• ELT Pipelines — in 1 other listing on The Stack
• Data Modeling — in 184 other listings on The Stack
• Data Governance — in 90 other listings on The Stack
• CI/CD — in 630 other listings on The Stack
• Dimensional Modeling
• Medallion Architecture
• Data Vault
• Semantic Layers

On The Stack (as of 2026-11-05)

• Optiver has 17 other listings on The Stack, 10 of them marked as offering visa sponsorship.
• 66 visa-sponsored jobs in the Netherlands on The Stack, posted in the last 60 days.
• 47 visa-sponsored data engineer jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about Optiver

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.