> Markdown version of [/jobs/ext/3561974-data-engineer-dutch-speaking](https://www.wearedevelopers.com/jobs/ext/3561974-data-engineer-dutch-speaking). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Engineer - Dutch Speaking

- **Company:** Fitura
- **Location:** Utrecht, Netherlands
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Architectural Patterns, Automation of Tests, Microsoft Azure, Continuous Integration, Extract Transform Load (ETL), Data Warehousing, DevOps, Distributed Computing Environment, Python (Programming Language), Sql Optimization, Technical Debt, Git, Data Lakes, Pyspark, Data Management, Azure Synapse Analytics, Data Pipelines, Api Management, Databricks
- **Published:** October 3, 2026
- **Apply:** https://www.adzuna.nl/details/5907833671

## About the Role

+ Minimum of 5 years of professional experience as a Data Engineer.
 + Strong hands-on experience with Azure Synapse Analytics and Azure cloud environments.
 + Proven experience with Azure Databricks and Lakehouse architectures.
 + Solid background designing and implementing ELT/ETL pipelines, data modeling, and data warehousing concepts.
 + Experience working in Agile/DevOps environments with active CI/CD pipeline management.
 * Technical Stack Proficiency: Advanced SQL and Python development skills, PySpark, distributed data processing, Git, and Azure DevOps.
 * Preferred Experience: Delta Lake, Unity Catalog, Medallion Architecture patterns, platform migrations, enterprise data products, API integrations, and banking/financial services background.
 * Languages: Professional level in Dutch and English

## Description

* Data Product & Pipeline Engineering: Design, build, maintain, and optimize scalable ELT/ETL pipelines, APIs, and reusable data components using Medallion Architecture principles.
 * Platform Migration & Evolution: Drive the transition and knowledge transfer from the current Azure Synapse implementation to Azure Databricks (utilizing Delta Lake and Unity Catalog).
 * Ownership & Feature Expansion: Further develop ownership-related data capabilities and features as part of the broader Application360 landscape in collaboration with allied squads (Berlix and Botanix).
 * Quality, CI/CD & Operations: Improve automated testing standards, CI/CD processes, data quality controls, monitoring, and operational excellence while managing product backlog items (PBIs) for technical debt reduction.
 * Cross-Functional Collaboration: Partner closely with Business Analysts, Architects, Product Owners, and multiple DevOps squads to translate business needs into robust technical solutions.

Your Deliverables:

 * Scalable, reliable data pipelines and APIs adhering to Medallion Architecture standards.
 * Migrated, optimized data products running on Azure Databricks.
 * Refined PBIs, technical design documents, and knowledge transfer frameworks.
 * Enhanced CI/CD workflows and automated data quality validation frameworks.