- Design, develop, and maintain enterprise‑scale data engineering solutions on Microsoft Azure.
- Build and optimize data pipelines using Azure Databricks and Azure Data Factory.
- Develop and maintain PySpark and Python‑based data processing frameworks.
- Implement and manage data governance and metadata solutions using Azure Purview, Collibra, and Atlan.
- Perform data modelling to support analytical, reporting, and governance use cases.
- Consume and integrate external and internal APIs to ingest structured and semi‑structured data.
- Ensure data quality, lineage, cataloging, and compliance across data platforms.
- 10+ years of overall experience in Data Engineering and Data Platform development.
- Strong hands‑on expertise in Microsoft Azure data services.
- Proven experience with Azure Databricks, PySpark, and Python for large‑scale data processing.
- Solid understanding of data concepts, data modelling, and data architecture.
- Practical experience with data governance tools such as Azure Purview, Collibra, and Atlan.
- Hands‑on experience in API consumption and data integration.
- Architect and implement scalable, secure, and governed data solutions on Azure.
- Build reusable and maintainable PySpark‑based data pipelines.
- Translate business and governance requirements into effective data models.
- Integrate multiple data sources using APIs and cloud‑native tools.
- Ensure end‑to‑end data lineage, cataloguing, and compliance.
- A digital‑first, cloud‑focused environment leveraging Microsoft Azure.
- Opportunities to work on complex, large‑scale data engineering initiatives.
- A culture that values Agile ways of working and continuous improvement.
- Exposure to advanced data governance platforms and modern data architectures.
Want to discuss this opportunity in more detail? Feel free to reach out.
Recruiter: Aswin Dhanvandhar
Phone: +31 20 369 0609 ; Extn :141
Email: aswin.d@stafide.nl
LinkedIn: https://www.linkedin.com/in/aswin-dhanvandhar/
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€70000 - €90000 monthly
