Senior Data Engineer

Job overview

If you enjoy turning complex, real‑world data into reliable, usable information that supports better decision‑making, this could be a highly rewarding role for you.

At NHS Greater Manchester, we are bringing together data from across health and care partners, including NHS providers, local authorities and public sources. Our aim is to better understand demand, improve services, tackle inequalities and enable better outcomes for the 3.3 million people we serve.

As a Senior Data Engineer, you will play a key role in this ambition. You will design and develop the data pipelines that underpin our Analytics and Data Science Platform (ADSP) - a Snowflake-based data lake house used daily by analysts, data scientists, finance teams and senior leaders across the system.

This is a hands-on technical role within a modern, cloud-first environment. You will work with data in many formats (such as CSV, JSON, XML, APIs and Parquet), building robust, well-tested pipelines and delivering high-quality, production-ready datasets that colleagues can rely on. Your work will directly support system-wide priorities, from urgent care and community services to population health and contract monitoring.

If you are looking for a role where your technical skills can make a real difference across a whole health and care system, and where you will be supported to learn and grow, we would be delighted to hear from you.

Main duties of the job

Design, build and maintain scalable data pipelines to ingest, transform and publish data from a range of partners into our Snowflake platform. Work with a modern cloud-based technology stack including Azure, Snowflake, Matillion, Python, dbt and OpenFlow. Translate requirements from analysts, data scientists and stakeholders into clear data models and reliable data solutions. Support live pipelines through monitoring, troubleshooting and continuous improvement.

Contribute to the development of our cloud data architecture, metadata and documentation, maintaining high standards of code quality through testing, peer review and DevOps practices. Collaborate across teams, working in Agile sprints to deliver shared priorities. Ensure data engineering practices are secure, well-governed and cost-effective.

We are looking for someone with experience in building data pipelines, data modelling and working with complex datasets. Strong SQL skills (including optimisation and stored procedures) and at least one programming language such as Python are essential. You should understand data warehousing concepts and have an interest in modern cloud platforms.

You will be collaborative, solutions-focused and committed to producing well-documented code. We offer mentoring, peer support and opportunities to develop skills in cloud technologies such as Azure and Snowflake.

Detailed job description and main responsibilities

Full details, including the complete person specification and our ways of working are in the attached Job Description & Person Specification.