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(Senior) Data Engineer – Healthcare

PAICON•Heidelberg
Full-time3-7
👁️ 0 views•📝 0 applications•Posted 10/22/2026•Expires 11/21/2026
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Job Description

About PAICON PAICON is a Heidelberg-based health data intelligence company building the global health data foundation through its PaiX ecosystem, working to close the representation gap in medical data so personalised medicine works for everyone.

We harmonise ethically approved, GDPR compliant real-world health data from providers around the world into a global dataset. The data covers multiple modalities on various disease entities. Our flagship product, PaiX Navigator, generates actionable insights for pharma, biotech and AI companies worldwide.

The role We are looking for a hands-on senior engineer to integrate data from our global partners into our platform. Data integration is the core of the role, and agentic AI tooling is part of how we do it. This is an on-site position in our Heidelberg office.

You will work closely with medical, engineering and commercialization colleagues in a small, pragmatic team with short decision paths and direct access to the founders.

What you'll do Onboard new data partners, from first assessment of their data through to reliable production ingestion Map partner data to our internal data model and work with providers to close gaps Build and maintain robust, well-tested data pipelines Ensure high standards in data quality and help evolve our database and data infrastructure Document data and transformations so that every step is transparent and traceable Ensure data is handled securely, de-identified and in line with healthcare data regulations Help us apply AI-assisted methods to data integration, with appropriate quality checks What you bring Several years of hands-on data engineering, including building and running production data pipelines Strong SQL and relational database design skills R and Python skills on Linux systems Familiarity with healthcare data standards such as HL7 FHIR and common clinical coding systems Understanding of data privacy and security in a regulated environment, including GDPR Day-to-day use of AI-assis

Required Skills

data engineeringproduction data pipelinesSQLrelational database designRPythonLinuxHL7 FHIRdata privacydata securityGDPRAI-assisted methodshealthcare data standardsclinical coding systems

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