Data Engineer (Mid-Level)
semble Open · verified Oct 24, 2026 At a glance
Mid-level Data Engineering role at semble. United Kingdom · no salary stated · we estimate £46,262–£66,563 across the United Kingdom.
semble has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build and look after ELT pipelines, checking their health and whether data arrives on time
- Write configuration-based pipeline definitions and roll out Databricks workflows in a multi-tenant setup
- Expand the data modelling layer and contribute to CI/CD and ingestion work
- Work with data and product teams to deliver dependable, tested data
- Review code and help improve platform practices and documentation
What you bring
- You have three to five years of experience in data engineering
- You bring strong Python and SQL skills, plus experience with Apache Spark or PySpark
- You can diagnose pipeline breakdowns, monitor them and get them working again
- You understand lakehouse concepts and have worked with Git and Databricks
Who this fits
This mid-level role suits a data engineer who wants ownership of pipeline, modelling and platform work. You can work remotely from France or the UK, or be contracted in selected EU countries.
From the employer
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.
- Human touch – We care deeply.
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
- Strong Python & SQL skills
- 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 things – that’s why we hire you!
- Work alongside an inspiring team – our founders started Semble after a successful startup exit, and your future colleagues are all knowledgeable and innovators in their field.
We welcome applications from people of all backgrounds and all walks of life, including underrepresented groups in the tech industry. We also encourage applications from disabled and neurodiverse candidates. If there are any adjustments we can make to support you throughout the recruitment process, please do let us know.
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