Data Engineer (Mid-Level)

Posted 3 Days Ago
Be an Early Applicant
Hiring Remotely in United Kingdom
Remote
Mid level
Cloud • Healthtech • Software
The Role
Build, test, optimize, and maintain ELT pipelines supporting analytics, reporting, and data products. Deploy config-driven workflows to Databricks across a multi-tenant environment, extend data models, support CI/CD and ingestion projects, monitor pipeline health, troubleshoot failures, and collaborate with data and product teams to deliver reliable, well-tested data.
Summary Generated by Built In

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 analyticsreporting, 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 easiersaving them money, and structuring health data to support better care and research. 

 

We are a passionate and driven teamproud 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. 

Skills Required

  • 3-5 years of data engineering experience
  • Strong Python and SQL skills
  • Experience with Apache Spark or PySpark
  • Ability to monitor, troubleshoot, and resolve pipeline failures
  • Familiarity with lakehouse concepts
  • Experience with Git, Databricks, streaming or CDC, AWS, and Great Expectations
  • Exposure to YAML
  • Experience building analytics data models in Spark
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The Company
HQ: London
61 Employees
Year Founded: 2016

What We Do

Healthcare businesses of all sizes, from individual clinicians to large enterprises, use Semble’s software and APIs to manage every aspect of their practice. Our vision is to empower health professionals in their daily work to continuously improve the quality of their care delivery. In this process, we aim to learn from medical data to further benefit health professionals, patients and clinical research.

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