Job
In this role, you will integrate data from global partners into our platform, build robust data pipelines, ensure data security under regulations, and effectively use AI-tools to optimize data integration.
Job technologies
Your role in the team
- 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.
Our expectations of you
Education
- Familiarity with healthcare data standards such as HL7 FHIR and common clinical coding systems.
Qualifications
- Strong SQL and relational database design skills.
- R and Python skills on Linux 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
- Several years of hands-on data engineering, including building and running production data pipelines.
What we offer
- 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!
Topics you will work on
Job locations
About your employer
PAICON GmbH, based in Heidelberg, focuses on digital health and AI solutions. It harmonizes multimodal health data from various international sources and develops valuable data and analytics products for healthcare providers as well as pharmaceutical and biotech companies. Since its founding in 2020, PAICON has been an innovative startup in the field of Health AI.
- Startup
- Hybrid, Onsite
- Healthcare, Social Sector
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