Are you looking to be part of something special, like shaping the future of healthcare?
We are looking for a Data Engineer to help build, test, and optimise the pipeline powering our analytics, reporting, and data products.
This is a role with real ownership to contribute to the next generation of our platform.
If this sounds like you, keep reading
At Semble, we are on a mission to enable health professionals to amplify their impact.
We improve the way healthcare is delivered to millions of people by providing doctors and their teams with powerful, innovative, intuitive, and secure software.
Our cloud-based clinical system is used by thousands of clinicians across the UK, France, and beyond -making their lives easier, saving them money, and structuring health data to support better care and research.
We are a passionate and driven team, proud to unite under strong cultural drivers:
Impact - We do work that matters.
Collaboration – We are in it together.
This role can be based in France or the UK, or contracted in selected EU countries, full remote.
What you will be doing




Build and maintain ELT pipelines, monitor pipeline health and data freshness
Write and maintain config-driven pipeline definitions and deploy workflows to Databricks across a multi-tenant environment
Extend our modelling layer, support CI/CD and ingestion projects
Collaborate with data and product teams to deliver reliable, well-tested data
Participate in code reviews and help evolve platform standards and documentation
What we're looking for
3–5 years of data engineering experience
Experience with Apache Spark / PySpark
Ability to monitor, troubleshoot, and resolve pipeline failures
Familiarity with lakehouse concepts
Experience with Git, Databricks, streaming / CDC, AWS, Great Expectations
Nice to have
Exposure to YAML
Experience building analytics data models in Spark
What you'll get in return
Autonomy and ownership – we'll set the vision and share the context, then we trust you to run with thing

📌 Mid-level Data Engineer (Madrid)
🏢 Semble
📍 Madrid