At a Glance
- Tasks: Build and optimise data pipelines using Azure Databricks to drive insights.
- Company: Join UPP, the UK's leading provider of student accommodation.
- Benefits: Competitive salary, 29 days holiday, private healthcare, and more.
- Other info: Dynamic team culture focused on innovation and continuous improvement.
- Why this job: Work with cutting-edge cloud tech and make a real impact on student living.
- Qualifications: Experience in data engineering, strong SQL skills, and cloud architecture knowledge.
The predicted salary is between 63000 - 77000 £ per year.
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 will include
- 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.
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.
Alongside this, you'll be collaborative and customer-focused, with passion for continuous improvement and delivering high-quality data solutions.
Experience with Python, Spark, Delta Lake, Dev Ops tools, agile methodologies or cloud data governance would be advantageous.
In return, we are offering a salary of c.£60k 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, virtual GP service, training, two paid volunteering or personal development days and a cycle-to-work scheme.
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.
Data Engineer in London employer: UPP
Joining the UPP team at Reading University as a Post Room Assistant means becoming part of a vibrant community dedicated to creating a supportive environment for students. With a competitive salary, generous holiday allowance, and a commitment to employee growth through training and volunteering opportunities, we foster a culture of innovation and respect. Our inclusive workplace values diversity and ensures that every team member can thrive, making it an excellent choice for those seeking meaningful employment in a dynamic setting.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like UPP!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at UPP.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like UPP.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at UPP, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at UPP. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at UPP
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at UPP!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
