> Markdown version of [/jobs/ext/1431015-data-engineer](https://www.wearedevelopers.com/jobs/ext/1431015-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:** LEVY PROFESSIONALS - **Location:** Amersfoort, Netherlands - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Microsoft Azure, Continuous Integration, Python (Programming Language), Object-Oriented Software Development, Scrum Methodology, Cloud Services, SQL Databases, Data Streaming, Azure Data Factory, Git, Build Management, Pytest, Containerization, Pyspark, Data Pipelines, Atlassian Bamboo, Legacy Systems, Databricks - **Published:** July 25, 2026 - **Apply:** https://nl.indeed.com/viewjob?jk=c593707185b88623 ## About the Role * Microsoft Azure * Python + Object-Oriented Programming + Pytest * SQL and/or PySpark * Databricks * Git * Azure DevOps / Azure Pipelines * CI/CD * Cloud Native development ## Description As a Senior Data Engineer, you will help design and build the next-generation Azure data platform while acting as a technical leader within the team., * Design and build Azure-based cloud-native data platforms * Develop and maintain CI/CD pipelines * Build scalable data pipelines * Integrate data from modern and legacy systems + APIs + Streaming platforms + CSV batch integrations * Support migration from legacy platforms to Azure * Design reliable migration patterns for phased migrations * Improve architecture where necessary together with architects * Share technical knowledge and raise engineering standards * Participate in Agile Scrum ceremonies * Participate in business-hours on-call rotation ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [pytest: Simple, rapid and fun testing with Python](https://www.wearedevelopers.com/videos/213-pytest-simple-rapid-and-fun-testing-with-python) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)