Senior Data Engineer, Systems & Solutions (SaS) MP&FS DG Division (Technology) 

Permanent 

Full time 

Leeds 

Shape the Future of Monetary Policy and Financial Stability 

Join the Systems & Solutions (SaS) Domain in the Monetary Policy & Financial Stability (MP&FS) DGCIO Division and be part of the Statistical Data Products Team. 

We enable critical processes, delivering data-driven solutions that influence the nations financial landscape.  If you're excited by the power of cloud technology and want your work to make a real-world impact, this is your opportunity. 

Opportunities in Leeds 

Were excited to be growing our presence in Leeds, a city weve been connected to for nearly 200 years! Our modern, accessible office in the City Centre offers a supportive, flexible working environment. The majority of roles, including this one, are now available in Leeds, giving you the chance to build a meaningful career outside of London while contributing to our mission from a dynamic and growing location. Youll work collaboratively with London-based colleagues in a hybrid model, with regular opportunities to travel into the London office to meet and connect together in person. 

Want to learn more? Discover what makes our Leeds office such a dynamic place to work by visiting our Leeds page for more details. 
 
Role Requirements: 

Are you passionate about cloud and data technologies and their potential to transform data systems?  Can you unlock the full potential of cloud-native tools to deliver insights?  Ready to work with Azure Cloud and Databricks in a high-impact environment?  

Join us and help shape the future of data platforms using cutting-edge cloud solutions.   Were looking for innovators who can harness cloud capabilities to drive smarter, faster decisions.  Our Systems & Solutions Domain is evolving rapidly, and your cloud skills could be the key to our next breakthrough. 

Minimum Criteria 

Candidates should be able to demonstrate the following core skills and experience: 

• Practical experience designing, building, supporting, or improving data solutions on the Azure Cloud platform. 

• Minimum two years hands-on experience working with Azure Databricks. 

• Experience building, maintaining, and optimising Azure Data Factory pipelines, or comparable cloud-based ETL solutions. 

• Expert SQL skills for data manipulation, analysis, performance tuning, and troubleshooting.  

• Experience in developing data solutions using Python skills. 

• Strong working knowledge of GitHub, including branching, pull requests, merge strategies, code maintenance, security scanning and version control. 

• Experience writing unit tests and integrating automating testing into build and deployment processes. 

Essential Criteria 

We are looking for candidates who combine strong technical capability with curiosity, collaboration, and a commitment to continuous improvement. Candidates should be able to demonstrate the following behaviours and capabilities: 

• Demonstrates integrity, self-motivation, curiosity, and a commitment to personal and professional development. 

• Collaborates effectively across disciplines, communicating clearly with technical and non-technical stakeholders to deliver high-quality solutions. 

• Takes ownership of delivery outcomes, contributing to code reviews, peer reviews, testing, and continuous improvement activities. 

• Writes clean, efficient, and maintainable code, with strong awareness of performance, security, resilience, scalability, and operational supportability. 

• Champions best practice, shares knowledge, supports team capability growth, and applies emerging tools and techniques where they deliver practical value. 

Desirable Criteria 

The following experience would be advantageous and help candidates contribute effectively in the role: 

• Experience working in Agile delivery environments and collaborating within cross-functional teams, using tools such as JIRA and Confluence to support planning, delivery, and knowledge sharing. 

• A delivery assurance mindset, with the ability to build trust and confidence through clear governance, evidence-based decision-making, and proactive stakeholder engagement. 

• Understanding of data modelling concepts, including logical and physical models, data lineage, and data quality considerations.  

• Microsoft Azure Data Engineer certification, or equivalent cloud data engineering accreditation. 

Join Our Systems & Solutions Domain Where our Systems Drive Impact: 

• Currently a non-contributory, career average pension giving you a guaranteed retirement benefit of 1/80th of your annual salary for every year worked. There is the option to increase your pension (to 1/65th) or decrease (to 1/105th) in exchange for salary through our flexible benefits programme each year.  The Bank has the discretion to vary standard accrual rates and dial up and dial down rates at any time and to withdraw dial up and dial down options at any time.
• A discretionary performance award based on a current award pool.
• An 8% benefits allowance with the option to take as salary or purchase a wide range of flexible benefits.   
• 26 days annual leave with option to buy up to 12 additional days through flexible benefits. 
• Private medical insurance and income protection.

The Bank of England welcomes applications from all candidates, but as a UK Visas and Immigration (UKVI) approved sponsor, we have a responsibility to comply with the Immigration Rules and guidance.  As such, our ability to employ individuals who require sponsorship for immigration purposes is limited.  The Bank cannot guarantee that you and / or the role you are applying for will be eligible for sponsorship and that any application made to UKVI will be successful.  Eligibility will therefore be considered on a case by case basis.