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UPP Data Engineer Opportunity
UPP is the UK's leading provider of on-campus residential and academic accommodation infrastructure, operating across a diverse portfolio of university partnerships. We're passionate about creating exceptional places for students to live and learn, and this opportunity plays a key role in helping us harness the power of data to drive insight, innovation and operational excellence across our business.
We are looking for a Data Engineer to join our Data & Business Intelligence team and help develop, maintain and optimise our cloud-based data platform.
Working within a modern Azure and Databricks environment, you'll design and maintain scalable data pipelines, transform and model data, and ensure our data architecture provides a reliable foundation for business intelligence, reporting and analytics across UPP.
This is an exciting opportunity to work with cutting-edge cloud technologies while supporting a business that is investing heavily in data-driven decision making.
This role is based in our award-winning London office near London Bridge, Canon Street and Monument Stations, and offers hybrid working. Occasional travel and overnight stays to support our national portfolio when required.
Key Responsibilities
- Build, maintain and optimise scalable data pipelines and ETL processes using Azure Databricks.
- Work with stakeholders across the business to understand data requirements and deliver effective solutions.
- Ensure data quality, accuracy and consistency through validation and monitoring processes.
- Design and maintain data models within Databricks and Azure SQL environments.
- Transform and prepare data for reporting, analytics and business intelligence.
- Support Power BI reporting and dashboard solutions alongside the BI team.
- Manage and optimise Azure and Databricks resources to ensure performance and cost efficiency.
- Implement monitoring, alerting, security and compliance controls across the data platform.
- Maintain documentation and support continuous improvement of data engineering processes.
- Contribute to innovation, knowledge sharing and best practice within the Data & Business Intelligence team.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
About You
We are looking for you to already be working in a Data Engineer, or similar data-focused role, with:
- Experience building and managing data pipelines and ETL processes.
- Strong SQL skills and experience with data modelling.
- Experience integrating data from multiple structured and unstructured sources.
- Strong understanding of cloud-based data architecture.
- Excellent analytical, problem-solving and troubleshooting skills, able to manage multiple priorities and work effectively in a fast-paced environment.
- Experience working with Azure, Databricks or similar cloud data platforms.
- A proactive approach with a passion for continuous improvement and delivering high-quality data solutions.


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Alongside this, you'll be collaborative and customer-focused, with passion for continuous improvement and delivering high-quality data solutions.
Advantageous Experience:
- Experience with Python, Spark, Delta Lake, DevOps tools, agile methodologies or cloud data governance.
What We Offer
In return, we are offering a competitive salary with a great benefits package which includes a discretionary performance bonus, 29 days holiday plus bank holidays, private healthcare, pension, enhanced family leave policy, life assurance, training, two paid volunteering or personal development days and a cycle-to-work scheme.
About UPP
UPP welcomes all applications and recognises the value of having a diverse and inclusive culture, which reflects the communities we work with and has a positive impact on our people, our student residents and our university partners.
We understand all disabilities, impairments and conditions are unique, so please advise us of any adjustments which would support you through our recruitment process and help you to thrive at work.
Our core values of Innovation, Sustainability, Community, Partnership and Respect are fundamental to our culture and summarise what is important to our business and our people.
We are a team with energy, pace and passion; apply today and help us build the data foundations that support smarter decision-making across UPP.
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