Data Engineer

Salary: £25,000 - 65,000 per year

Requirements:

• 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, with the ability 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.
• Collaborative and customer-focused, with a passion for continuous improvement and delivering high-quality data solutions.
• Experience with Python, Spark, Delta Lake, DevOps tools, agile methodologies or cloud data governance would be advantageous.

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.

Technologies:

• Azure
• Business Intelligence
• Cloud
• Databricks
• DevOps
• ETL
• Support
• Power BI
• Python
• SQL
• Security
• Spark

More:

We are UPP, the UKs leading provider of on-campus residential and academic accommodation infrastructure, operating across a diverse portfolio of university partnerships. We are passionate about creating exceptional places for students to live and learn, and this role helps 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 will design and maintain scalable data pipelines, transform and model data, and help 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. The role is based in our award-winning London office near London Bridge, Canon Street and Monument Stations, with hybrid working. Occasional travel and overnight stays may be required to support our national portfolio. We offer a salary of c.60k and a great benefits package including a discretionary performance bonus, 29 days holiday plus bank holidays, private healthcare, pension, enhanced family leave policy, life assurance, virtual GP service, training, two paid volunteering or personal development days and a cycle-to-work scheme. We welcome all applications and value a diverse and inclusive culture, with core values of Innovation, Sustainability, Community, Partnership and Respect.

last updated 37 week of 2026