DataOps Engineer for Azure Data Platform

Are you passionate about unlocking the value of data and enabling strategic decision-making? Join Data Services, where our mission is to deliver high-quality, reliable, and secure data services that are accessible, understandable, and actionable. As a DataOps Engineer, you'll help build our DataOps specialism within a growing team of Data Engineers and DevOps professionals, operationalising and automating our Azure Data Platform to ensure data workflows are robust, efficient, and future-ready.

Flexible Working Options

This role is open to flexible working patterns, which may include:

• Job share
• Flexible start and end times
• Part time
• Adaptable calendar to fit personal commitments (e.g., school run, appointments)
• 50% in-office attendance, spread flexibly across the month
• Compressed hours (subject to approval and policy)
• Working from abroad policy (subject to approval and policy), This role is central to the Bank's mission to unlock the value of data for strategic decision-making. As part of the Data Services team, you'll help shape and deliver the Bank's cloud data platform, supporting colleagues across the organisation to make informed, data-driven decisions and ensuring our technology remains robust, secure, and future-ready. Our Approach to Inclusion The Bank values diversity, equity and inclusion. We play a key role in maintaining monetary and financial stability, and to do that effectively, we believe we need a workforce that reflects the society we serve. At the Bank of England, we want all colleagues to feel valued and respected, so we're working hard to build an inclusive culture which supports people from all backgrounds and communities to be at their best at work. We celebrate all forms of diversity, including (but not limited to) age, disability, ethnicity, gender, gender identity, race, religion, sexual orientation and socioeconomic status. We believe that it's by drawing on different perspectives and experiences that we'll continue to make the best decisions for the public. We welcome applications from individuals who work flexibly, including job shares and part time working patterns. We've also partnered with external organisations to support us in making adjustments for candidates and employees in the recruitment process where they're needed. For most roles where work can be carried out at home, we aim for colleagues to spend half of their time in the office, with a minimum of 40% per month. Subject to that minimum requirement, individuals and managers should work together to find what works best for them, their team and stakeholders. Finally, we're proud to be a member of the Disability Confident Scheme . If you wish to apply under this scheme, you should check the box in the 'Candidate Personal Information' under the 'Disability Confident Scheme' section of the application. Salary and Benefits Information We encourage flexible working, part time working and job share arrangements. Part time salary and benefits will be on a pro-rated basis as appropriate.

We offer a salary as follows, Important: Please ensure that you complete the 'work history' section and answer ALL the application questions fully. All candidate applications are anonymised to ensure that our hiring managers will not be able to see your personal information, including your CV, when reviewing your application details at the screening stage. It's therefore really important that you fill out the work history and application form questions, as your answers will form a critical part of the initial selection process. The assessment process will comprise of two interview stages. This role closes on 5 March 2026 Please apply online, ensuring that you complete your work history and answer ALL the application questions fully and in detail as your application will not be considered if all mandatory questions are not fully completed.

Do you have experience in Terraform?, You will have experience in DataOps, Data Engineering, or DevOps, and are eager to develop your skills in these areas. If you're passionate about cloud data services and automation, we'd love to hear from you., * Demonstrable experience in DataOps, Data Engineering, DevOps, or related roles focused on managing data operations in complex, data-centric environments.

• Validated experience driving automation of data workflows within a cloud ecosystem.
• Strong interest in data pipeline monitoring and an understanding of data security practices such as RBAC and encryption.
• Implemented data and pipeline observability dashboards, ensuring high data quality, and improving the efficiency of data workflows.
• Experience ensuring compliance with regulatory frameworks and implementing robust data governance measures.
• Demonstrated ability to implement Infrastructure as Code using Terraform, to provision and manage data pipelines and associated resources.

Essential Criteria

In addition to your technical skills you will also:

• Work in a hybrid office / home environment and participate in an out of hours support rota.
• Have excellent communication and collaboration skills, with both technical and business colleagues.
• Be motivated to learn, upskill and improve yourself in both technical and relevant complementary soft skills.

Desirable Criteria

It would be beneficial, but not necessary, to already have:

• Proven experience in optimizing and scaling high-volume data operations within enterprise Azure environments.
• Hands-on expertise with Azure Data Platform components including Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL, Purview and APIM.
• Familiarity with Azure services that enhance data operational efficiency and support complex analytics.
• Exposure to Spark-based processing and advanced analytics techniques to further empower data-driven decision-making.
• Demonstrated expertise in performance tuning for cost efficiencies within an Azure-based data infrastructure.
• Proficiency in developing CI/CD data pipelines and strong programming skills in Python, SQL, Bash, and PySpark for automation.
• Relevant certifications such as Azure Data Engineer Associate, Azure DevOps, Databricks Data Engineer Professional, or equivalent credentials.
• Ability to build and manage the DataOps processes in a newly formed team which is planned to continue to expand over the next few months and years.
• Experience working within agile teams.

We do not expect new joiners to have skills across all the technical areas we are looking for, but we do want you to enjoy learning and will support you to fill the gaps.

The job has flexibility in working pattern, but you will be part of a support rota so, at times, your working hours will be more rigid.

Leeds circa £40,320 - £45,360 In addition, we also offer a comprehensive benefits package as detailed below:

• 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.