At a Glance
- Tasks: Build and optimise data pipelines using Azure technologies for impactful government projects.
- Company: Join UK Government Investments, a unique team driving national importance through data.
- Benefits: Enjoy flexible working, competitive salary, and opportunities for professional growth.
- Why this job: Make a real difference in society while developing your data engineering skills.
- Qualifications: 5+ years in data engineering with strong SQL and Azure experience preferred.
- Other info: Diverse and inclusive workplace with a commitment to equality and work-life balance.
The predicted salary is between 55000 - 65000 £ per year.
At UK Government Investments (UKGI), we create value for society from government’s most complex commercial interests. Our team comprises c.150 experts who work together with Civil Servants to provide high quality corporate finance and corporate governance expertise to departments, advising in support of their policy objectives. Working for UKGI provides a unique opportunity for talented individuals from the public and private sector to contribute to work of national importance. The work we do is challenging and fast-paced and is always significant in terms of social, economic, and political impact. Continuously interesting and often novel, our work spans sectors including: AI, defence, transport, energy security and space travel.
Within UKGI, we have undertaken a key advisory role in the most recent high-profile transactions involving government, including the return of NatWest group to the private sector, the acquisition of Royal Mail by IDS, the acquisition of OneWeb and subsequent merger with Eutelsat, the equity raise to fund the construction of Sizewell C nuclear plant and the re-acquisition of the Annington Homes estate. Our advice ranges from supporting companies in distress, responding to major private sector mergers and acquisitions, moving companies into public ownership and commercial negotiations with the private sector.
About the team: UKGI’s Data and Analytics team plays a central role in enabling data-driven decision making, strengthening organisational insight, and supporting high-profile cross-government programmes. As part of the next phase of maturing UKGI’s data capabilities, we are recruiting a Data Engineer to lead the hands‑on engineering required to build, scale, and maintain our data pipelines, platforms, and development practices. The work of the team includes designing and building new tools to support operational priorities as well as cross-government data initiatives relating to monitoring, reporting and informing government’s management of its financial assets and liabilities.
This role is designed to take on technical responsibilities that include ensuring robust engineering foundations, high‑quality data flows, and improved efficiency across analytical and operational workflows alongside UKGI’s Head of Data. You will be working in a highly collaborative, open‑minded and growth-oriented team that is developing improvements to how UKGI collects data across government, streamlines data structures, and utilises this data to generate products that support the delivery of government’s fiscal and financial priorities. You will be line managed by the Head of Data, but also work in close collaboration with the Head of Analysis, Chief Data and Analytics Officer as well as UKGI teams spanning all of UKGI's disciplines.
About the Role: You will take ownership of hands‑on engineering tasks critical to UKGI’s data architecture and workflows. This includes:
- Build, maintain and optimise data ingestion, transformation, and enrichment pipelines in Microsoft Fabric, Azure Data Factory, SQL environments and related Azure services.
- Ensure reliable scheduled execution, data validation, lineage tracking, and version control across all pipelines.
- Implement schema management practices to ensure consistency across datasets used for analytical, governance and reporting purposes.
Development Operations:
- Own the Azure DevOps workflows for data engineering, including branch design, merge strategies, pull request standards, and validation rules.
- Maintain and troubleshoot build pipelines relevant to data workflows.
- Automate deployment processes for data assets, ensuring consistent movement across development, testing and production environments.
Platform Reliability and Performance:
- Monitor pipeline failures, environmental constraints, and system bottlenecks, taking proactive action to resolve and prevent issues.
- Lead performance tuning across SQL workloads, Fabric transformations, and ADF orchestration.
- Implement best practices in alerting, logging, and recovery.
Engineering Standards, Quality and Governance:
- Enforce engineering standards for version control, testing, documentation, and data validation, ensuring alignment with UKGI’s DevOps guidance.
- Ensure appropriate handling of sensitive or production‑grade datasets.
- Support adoption of quality assurance and peer‑review processes across the function.
About You: This role would be suitable for someone with 5+ years of professional experience in a data engineering role, with a strong foundation and appetite for further growth, though we are happy to consider all levels of experience.
Essential Skills and Experience:
- Strong hands‑on experience with SQL, including writing complex queries, performance tuning, and working with relational data stores.
- Practical experience building and maintaining ETL/ELT pipelines using Azure Data Factory, Fabric Dataflows, or equivalent tools.
- Working knowledge of Azure DevOps for CI/CD processes, including branch management, pull requests, and automated validations.
- Experience with data modelling, schema design, and structuring datasets for analytical and operational workloads.
- Ability to troubleshoot and resolve pipeline failures, permission issues, and environment‑level blockers.
- Familiarity with Python or similar scripting languages for data tasks.
- Strong communication skills and ability to work with non‑technical colleagues.
- Experience working within Agile or iterative delivery teams.
- Experience with Microsoft Fabric engineering components (e.g. Data Factory in Fabric, Lakehouse, SQL Endpoint).
- Exposure to CI/CD for Fabric‑native data workflows.
- Familiarity with principles of data governance and quality assurance.
- Understanding of containerisation (e.g. Docker) concepts as they relate to engineering workflows.
Diversity statement: UKGI has a strong commitment to equality and diversity. Our aim is to be an open and inclusive organisation, recruiting and retaining diverse, talented and high‑performing people who support and develop one another. UKGI is a Disability Confident Employer. This means we’ve been recognised as an employer which is confident and leading the way in recruiting and retaining staff with disabilities. We will offer an interview to any applicants with a disability who have indicated they wish to take part in the disability confident scheme, provided they meet the essential criteria for the post set out in the person specification. If you need any reasonable adjustments to take part in the selection process, please tell us about this in your application. UKGI is also part of the ‘Great Place to Work for Veterans’ initiative. This means that as part of our commitment to diversity and equality in our recruitment and retention policy, we will offer an interview to any eligible applicants from His Majesty’s Armed Forces provided they meet the essential criteria for the post set out in the person specification. Please indicate on your application that you wish for your application to be considered as part of this initiative.
In line with company policy, we will be employing a hybrid working model based, with 40% of your time being home‑based. At UKGI we place a high degree of value on work life balance and as such applications from individuals seeking flexible working, reduced hours contracts and job shares are also actively encouraged. Applications close on the 20th of April.
Azure Data Engineer - Leeds employer: UK Government Investments (UKGI)
Contact Detail:
UK Government Investments (UKGI) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer - Leeds
✨Tip Number 1
Network like a pro! Reach out to current or former employees at UKGI on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your Azure skills. Make sure you can talk confidently about SQL, data pipelines, and Azure DevOps. We want to see that you're not just a fit on paper but also in practice!
✨Tip Number 3
Show your passion for data! During interviews, share examples of how you've used data to drive decisions or improve processes. This will help us see your enthusiasm and how you can contribute to our mission.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team at UKGI.
We think you need these skills to ace Azure Data Engineer - Leeds
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your relevant experience and skills for the Azure Data Engineer role. We want to see how your background aligns with what UKGI is looking for, so don’t hold back on showcasing your expertise!
Showcase Your Technical Skills: Since this role is all about data engineering, be sure to emphasise your hands-on experience with SQL, Azure Data Factory, and any other relevant tools. We love seeing specific examples of how you've tackled challenges in your previous roles.
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point while still being engaging.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at UK Government Investments (UKGI)
✨Know Your Tech Inside Out
Make sure you brush up on your SQL skills and Azure Data Factory experience. Be ready to discuss specific projects where you've built or maintained ETL/ELT pipelines, as well as any performance tuning you've done. This role is all about hands-on engineering, so showcasing your technical expertise will definitely impress.
✨Understand the Bigger Picture
UKGI's work has a significant social and economic impact, so it’s crucial to understand how your role as a Data Engineer fits into their mission. Familiarise yourself with recent high-profile transactions and how data plays a role in decision-making. This will show that you're not just technically skilled but also aligned with their goals.
✨Prepare for Collaboration
Since you'll be working closely with various teams, highlight your communication skills and experience in collaborative environments. Think of examples where you've successfully worked with non-technical colleagues or contributed to Agile teams. This will demonstrate that you can bridge the gap between tech and business needs.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you've tackled challenges in previous roles, especially around troubleshooting pipeline failures or optimising workflows. Use specific examples to illustrate your thought process and the steps you took to resolve issues. This will help convey your proactive approach and ability to handle the fast-paced nature of UKGI's work.