Senior Data Engineer HealthTech / AI-Driven Data Platform Paddington, London
Were partnered with a fast-growing HealthTech company using data and AI to transform how healthcare organisations manage clinical and operational insights. 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.
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.
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 .
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.
Tech Stack: Python, SQL, dbt, Databricks, Azure, GCP, Airflow, Terraform, PySpark
