Data Engineer

Senior Data Engineer HealthTech / AI-Driven Data Platform

Paddington, London

75,000 100,000 + Equity + Benefits

Were partnered with a fast-growing HealthTech company using data and AI to transform how healthcare organisations manage clinical and operational insights. Their platform integrates complex datasets from multiple health systems, enabling better decision-making, faster diagnosis, and measurable patient impact.

As they scale their data capability, theyre hiring a Data Engineer to play a key role in designing and delivering the next generation of their data platform.

What youll be doing

• Designing, developing, and optimising scalable data pipelines that power advanced analytics and machine learning.
• Building and maintaining robust ETL/ELT workflows using Python, SQL, dbt, and cloud-native tools .
• Implementing data quality, observability, and governance frameworks to ensure reliability and compliance.
• Collaborating with data scientists, analysts, and clinicians to enable actionable insights through clean, well-modelled data.
• Driving technical decisions across Azure Databricks , GCP BigQuery , and other modern data technologies.
• Working on-site in Paddington 34 days per week with a collaborative cross-functional team.

What were looking for

• 4+ years experience in data engineering or analytics engineering roles.
• Proven hands-on experience with Python , SQL , and modern data stacks ( dbt, Airflow, Databricks, or Dataform ).
• Solid grasp of data modelling, orchestration, and CI/CD best practices .
• Experience with Azure or GCP (Databricks, BigQuery, or Data Factory).
• Strong communicator comfortable working with product, clinical, and data science teams.
• Interest in contributing to data-driven healthcare innovation .

Why join?

• Work at the intersection of healthcare and AI , solving meaningful real-world problems.
• Influence the technical direction of a modern cloud-first data platform .
• Competitive salary, equity, and benefits.
• Join a supportive, high-calibre engineering team committed to quality and innovation.

Location: Paddington, London

Tech Stack: Python, SQL, dbt, Databricks, Azure, GCP, Airflow, Terraform, PySpark