Senior Data Engineer

Data Engineer
£500 - £560 per day
London - 1 day per week in office

We're working with a leading global healthcare technology company who are building out their next-generation data platform, with a strong emphasis on automation, testing, and cloud-native engineering, and are looking for an experienced Data Engineer to join their team.

You'll be part of a modern data engineering function that's implementing best-in-class data practices across ingestion, transformation, and orchestration layers. The environment is highly technical, collaborative, and fast-paced, giving you the opportunity to work across a wide variety of data sources and tools.

Day-to-day responsibilities include:

• Designing and developing DBT models and Airflow pipelines within a modern data stack.
• Building robust data ingestion pipelines across multiple sources - including external partners, internal platforms, and APIs.
• Implementing automated testing and CI/CD pipelines for data workflows.
• Performing data extraction and enrichment, including web scraping and parsing of unstructured text (e.g., scanned forms and documents).
• Collaborating on forecasting and predictive analytics initiatives.
• Bringing modern engineering practices, testing frameworks, and design patterns to the wider data function.

Core skills:

• Strong experience with DBT, Airflow, Snowflake, and Python
• Proven background in automated testing, CI/CD, and test-driven development
• Experience building and maintaining data pipelines and APIs in production environments

Nice to have:

• Knowledge of Snowflake infrastructure and data architecture design
• Experience using LLMs or MLOps frameworks for data extraction or model training
• Familiarity with cloud-agnostic deployments and version control best practices

• A proactive, hands-on approach to engineering challenges
• A passion for data quality, scalability, and performance
• The ability to influence best practices and introduce modern standards across a data estate
• Strong problem-solving skills and the confidence to work across multiple complex data sources

This is an opportunity to help shape the data foundations of a high-impact healthcare technology business - one that\'s actively exploring the intersection of data engineering, MLOps, and AI.

You\'ll have ownership of end-to-end data workflows, work with a world-class tech stack, and join a forward-thinking team that values automation, collaboration, and innovation.