Data Engineer

As a Data Engineer, you will build the core data infrastructure that powers our machine learning systems for clinical diagnostics. You will ensure our digitized data library is high-quality, complete, and traceable, from the moment it is ingested through research, model development, and clinical validation. This high-impact role spans data engineering, data governance, and the data foundation of our ML platform in a regulated environment.

 

Responsibilities:

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    Data architecture & pipelines

• Multi-Modal Data Ingestion: Build and maintain robust pipelines to ingest and process large-scale, multi-modal datasets, including gigapixel imaging, genomic data, and clinical metadata.

• Data Transfer Infrastructure: Design reusable, secure transfer pipelines to streamline data exchange with clinical and scanning partners.

• Data Warehousing: Design, optimize, and own the data warehouse, providing R&D and clinical teams with fast, reliable access to critical data.

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    Data quality, traceability & governance

• Implement automated validation tools to enforce high data quality standards at scale, expanding on sample quality control provided by our Clinical Team.

• Build data versioning and end-to-end lineage tracking so every data point is traceable to its source and fully auditable for model research, development, or clinical validation.

• Shape and execute data governance practices (access control, retention, usage) that align with FDA and IVDR compliance requirements.

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    Cross-functional collaboration​

• ML Platform Support: Work closely with ML Engineers and Software Engineers to design and strengthen the underlying data foundation of our ML platform.

 

Requirements:

• 3+ years of hands-on experience: 

  • Building scalable pipelines for large-scale structured and unstructured data, using Infrastructure-as-Code (IaC).

  • Building solutions for distributed or high-performance data processing with reproducible, version-controlled infrastructure.

  • Experience with data modeling, data versioning, lineage tracking, and automated quality controls in production environments.

• 2+ years experience developing data or ML systems, preferably in a regulated environment (e.g. medical devices, healthcare, financial services) with a strong understanding of requirements such as reproducibility, auditability, and data governance.

• 1+ year of experience working with large image formats (e.g., Whole Slide Images [WSI], DICOM, or equivalent).

• Excellent written & verbal communication (English) and interpersonal skills.

• Valid work permit and residence in Germany or other Central European country.

• Availability to travel to clinical partners in Europe and to our offices in Basel and Tunis as needed.

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Strong plus:

• Exposure to ISO 27001 / ISO 13485 a plus

• Exposure to Software as a Medical Device (SaMD) or clinical integrations is a strong plus