Lead Data Engineer, Architect

80-95k + shares

Lead Data Engineer - Data Pipeline Architect

Tech Stack: Python, SQL, ETL, PostgreSQL, Airflow, AWS, Snowflake

£80-95k + shares

Our client is a medtech AI scale-up with a rapidly-growing customer base across the UK, Europe, US and Australia. World beating smart infrastructure allowing professionals to capture, process and report data globally whilst remaining compliant with regional healthcare regulation. Following several years of winning key accounts the company is set fair.

An amazing time for a top flight Data Engineer to fast track your career and help take the data pipeline to the next level. This is a key role within the company, mixing technical, team and product leadership, to deliver one of the company’s flagship offerings to prestigious healthcare clients (including global medical device companies, state-wide US hospital networks, the NHS and large government institutions).

The Lead Data Engineer remit:

  • Lead developer of the data pipeline. The warehouse (dimensionally-modelled) pulls from multiple sources at various frequencies. Current tech stack is Python, SQL, ETL, PostgreSQL, Airflow, AWS, Snowflake
  • Owning data quality, availability and security
  • Owning the reporting interfaces including internal (currently Superset) and external (reports serving the web dashboard, and bespoke client reports)
  • Mentoring the existing data engineer
  • Proactively analysing and improving the quality of data products - including performance, scalability, maintainability, test coverage and documentation
  • Leading technical discussions to the right decisions (democracy of ideas)
  • Reporting to the Head of Engineering


  • At least 6 years' experience in architecting and monitoring complex yet scalable cloud data pipelines
  • Expert in SQL and Python
  • Strong understanding of design patterns and architectural best practices
  • Experience of owning a product release process including design, development, QA, documentation, deployment and monitoring
  • Ability to see the big picture and break it down into manageable chunks
  • Experience of mentoring other data engineers
  • Experience of real-time data processing (streaming)
  • Ability to thrive in a fast-paced SCRUM environment
  • Humility and desire to learn from anyone


  • JavaScript
  • Snowflake
  • CI/CD
  • Infrastructure-as-code (AWS, Terraform)
  • Microservices

Benefits: A very competitive salary awaits the right candidate. Remote working with periodic north London office visits (typically once a fortnight), a training budget for professional development, pension contributions etc. 

Lead Data Engineer | Data Pipeline Architect | Big Data Engineer | Cloud Data Engineer


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