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. The Role 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. Tech Stack & Skills 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 What You'll Bring • 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 Why Join? 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.