Senior Data Engineer – HealthTech / AI-Driven Data Platform
Paddington, London
£75,000 – £100,000 + Equity + Benefits
We’re 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, they’re hiring a Data Engineer to play a key role in designing and delivering the next generation of their data platform.
What you’ll 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 3–4 days per week with a collaborative cross-functional team.
What we’re 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