Data Engineer (Mid-Level)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 3h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 44d ago
The date the source published, not the day we noticed it (2026-08-20). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United Kingdom
The description agrees: it names France, United Kingdom.
What the ad says
…based in France or the UK, or contracted in selected EU countries, full remote…
Pay not stated
Similar roles pay £75k–115.8k/yr
Middle 50% of 58 listings that do state pay — Engineering · all levels · United Kingdom · GBP/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
bamboohr employer's own board first seen 3h ago · last seen 1h ago
The listing
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.