Senior Data Engineer

Salary Band 10, £50,154 – £54,696 (Please note it is Northumbria Police policy to appoint at the beginning of the band)

Location:

Agile, Forth Banks Police Station and homeworking Hours/

Contract:

37 hours per week, permanent Working for #TeamNP

Our purpose at Team NP is simple: to keep people safe and to fight crime. But it takes more than officers alone to do the job – and that’s where our 2,000‑strong team of police staff and 200 volunteers come in.

As one of the largest police forces in England we have a huge variety of departments and specialisms offering you endless opportunities. From mentoring and coaching schemes and online soft skills courses to leadership development programmes; we’ll give you the support, training and time to carve out the career you always wanted.

As a disability confident employer, we promote a culture of respect in the workplace so everyone can feel seen, heard and valued.

Whether you’re a member of staff or a volunteer, you can also expect first‑rate support to manage your health and wellbeing. With year‑round events, a 24/7 welfare support hotline and a leading approach to neurodiversity, our initiatives enable you to be at your best.

Above all else, here at Team NP, we can offer you a career that is so much more than just a job, it’s a chance to be part of something that really matters.

Here at Northumbria Police, we think our region is amazing! It takes a great deal of people from different backgrounds, with diverse skills and experience to serve our force area effectively, think you have what it takes to help us make a difference? This could be the perfect time for you to join us in our Digital Policing Team as a Senior Data Engineer.

The Senior Data Engineer plays a critical role in enabling data‑driven decision‑making across the Force, designing and developing robust, scalable data structures and models that underpin operational and strategic insight. The postholder will ensure that data is captured, transformed and presented in a way that is accurate, accessible and meaningful, supporting a wide range of analytical and reporting needs. By creating high‑quality, well‑governed data solutions, this role directly contributes to improving performance, efficiency and service delivery.

Working at the heart of data and technology, the Senior Data Engineer will also be responsible for maintaining and optimising data systems to ensure reliability, security and performance. They will collaborate closely with analysts, stakeholders and technical teams to understand requirements and deliver solutions that add tangible value. Through continuous improvement and innovation, the role will help shape how data is used across the organisation, ensuring it is leveraged effectively to support policing priorities and better outcomes for communities.

• Translate business requirements into well‑structured conceptual, logical and physical data models, ensuring appropriate version control processes are in place to support both current and future organisational needs.
• Design and deliver robust data integration solutions, including Extract, Transform and Load (ETL) processes, and develop reusable metadata to support consistency and efficiency.
• Develop, maintain and optimise ETL pipelines to support data interoperability, including the troubleshooting and improvement of existing processes such as stored procedures, functions, packages and emerging ETL technologies.
• Provide expert guidance and support across projects and initiatives to ensure data is used effectively, securely and sustainably, meeting the evolving needs of the organisation.
• Identify and drive opportunities for innovation, leveraging current and emerging data capabilities to enhance performance, insight and value.
• Promote and improve data quality, governance and integrity by implementing and adhering to best practice frameworks, standards, policies and tools.
• Strong data engineering expertise – Proven experience in SQL, ETL processes, data integration, and working within data warehouse environments.
• Advanced data modelling & database knowledge – Experience designing relational/multi‑dimensional models and working with…