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# Data Platform / Data Engineer

- **Company:** Straumann Group
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Big Data, Continuous Integration, Data Governance, Data Infrastructure, Data Security, Revision Control Systems, Python (Programming Language), PostgreSQL, Machine Learning, Meta-Data Management, Software Engineering, Management of Software Versions, Kubernetes, Data Management, Machine Learning Operations, Data Lakehouse, Data Pipelines
- **Published:** July 20, 2026
- **Apply:** https://es.trabajo.org/oferta-3206-1d10dea2253fdee73a15752157b425cf

## About the Role

multiple versions of datasets and annotations across experiments and models. - Improve the ability for researchers to retrieve the correct dataset versions reliably. Data pipelines and infrastructure - Build and maintain scalable data pipelines in Python. - Improve metadata management, dataset validation, and data quality monitoring. - Optimize data workflows across AWS-based infrastructure. Collaboration with ML teams - Work closely with ML researchers and ML engineers to understand their data needs. - Support research workflows with reliable and efficient data access patterns. - Help translate research requirements into robust platform capabilities. Data governance and quality - Implement practices for data quality, reproducibility, and traceability across the ML lifecycle. - Ensure our data infrastructure meets the requirements of regulated AI development. Must Have What we're looking for: - Strong Python engineering skills - Experience building data pipelines or data
platforms - Experience working with AWS - Experience working with large datasets used in ML workflows - Strong software engineering practices (testing, CI/CD, documentation) - Experience collaborating with ML teams or working in AI environments Nice To Have - Experience with dataset versioning tools such as DVC - Experience with Kubernetes - Experience with data lakehouse architectures - Experience working with annotation pipelines or ML training datasets - Experience with PostgreSQL, Metabase, or similar data tooling - Experience working in regulated environments (medical / healthcare AI) Our stack - AWS - Python - Kubernetes - PostgreSQL - Metabase - DVC for dataset versioning - Internal Data Lakehouse infrastructure All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability. Employment Type: Full Time Alternative



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