Data engineer • hockenheim
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 perso... Mehr anzeigen
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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.
We are looking for a hands-on data 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.
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
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-assisted development tools and curiosity to go further with them
A pragmatic mindset: you choose the simplest solution that works
Ability to turn messy, real-world data into clear findings and next steps
Good communication with technical and non-technical colleagues
Independent, hands-on working style with agile mindset
Fluent English, our primary working language
Experience with genomics/clinical & pathology data/digital histopathology data
Experience with graph databases or ontologies
Experience with containers, CI/CD and cloud infrastructure on hyperscalers.
Hybrid working, with core office days to help organise how you do your best work
An inclusive team where different backgrounds and perspectives are part of the point
A friendly, motivated and agile environment where things move quickly and you see the impact of your work
Flat hierarchies and short decision paths, with direct access to founders and medical, engineering and commercial colleagues
Real ownership of your ideas: propose something good and you will be the one building it
You will join a team solving a problem that matters, in a company where your voice carries weight from day one. There are no long approval chains between a good idea and a production system, and no layers between you and the people who depend on the data you integrate. If you want to shape how global health data is built rather than inherit someone else’s architecture, this is the place to do it! Cheers!
A medical cloud and digital healthcare company focusing on diagnostic algorithms
