> Markdown version of [/jobs/ext/4572916-data-engineer](https://www.wearedevelopers.com/jobs/ext/4572916-data-engineer). 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 - **Company:** Venquis - **Location:** Amsterdam, Netherlands - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Data Governance, Data Systems, DevOps, Python (Programming Language), Data Processing, Cloud Platform System, Azure Data Factory, Git, Containerization, Data Lakes, Kubernetes, Terraform, Azure Synapse Analytics, Software Version Control, Docker, Databricks - **Published:** November 5, 2026 - **Apply:** https://www.venquis.com/job/data-engineer-23742/ ## About the Role * 3+ years of experience as a Data Engineer or in a similar role. * Proven experience with the Azure data ecosystem, including: + Azure Data Factory + Azure Databricks + Azure Synapse Analytics + Azure Cloud Services (Storage, Functions, Monitoring) * Strong experience with Terraform and infrastructure-as-code in cloud environments. * Proficient in Python or Scala for data processing. * Experience working with CI/CD pipelines and version control (e.g., Git). * Understanding of data governance, privacy, and security practices. * Strong problem-solving skills and a collaborative mindset. * Fluent in English; Dutch is a plus., * Experience with Delta Lake and Medallion architecture. * Knowledge of the financial services or pensions industry. * Familiarity with DevOps practices and containerization (Docker/Kubernetes). ## Description * Design, build, and maintain scalable and secure data pipelines on Azure. * Work with Azure Data Factory, Azure Databricks, Azure Synapse, and other Azure services to ingest, transform, and store data efficiently. * Implement infrastructure-as-code using Terraform to ensure consistency and scalability of the platform. * Collaborate with data scientists, analysts, and other engineers to deliver data products and services. * Ensure data quality, governance, and compliance standards are met. * Optimize performance and cost-efficiency of data solutions in the cloud environment.