Hays
Data Engineer

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DATA ENGINEER
We're looking for a talented and passionate Core Data Engineer to join our highly reputable & national real estate client with their head office based in Milton Keynes.
You'll play a key role in delivering Connells Group Reporting Data, covering architecture, data modelling, design, and pipelines. You'll work closely with technical specialists to innovate, share ideas and continually enhance team capability. Your work will support strategic decision-making across the Group by delivering accurate, timely reporting for all brands and business units.
We offer a hybrid working arrangement with 1 day per week in our Milton Keynes office.
Key Responsibilities:
- Apply best practices for data design, ensuring scalable, high-quality and consistent architecture and modelling.
- Provide timely and accurate root-cause analysis and resolution within SLA timeframes.
- Work with the Core Data Lead to build a unified team work plan aligned with business objectives and data initiatives.
- Collaborate with Reporting Engineers to define, develop and enhance the Common Data Model.
Team Roles & Responsibilities:
- Work within the overall data architecture, ensuring that it aligns with the business's data strategy, scalability and future requirements. Continuously optimise for improved data flow, accessibility and security.
- Design and develop data ingestion processes, integrating multiple data sources. Maintain the Common Data Model to ensure organisation-wide consistency.
- Apply Agile principles for iterative and collaborative development.
- Ensure data pipeline quality, reliability and performance. Develop, test and implement monitoring to ensure effective operation.
- Support cross-functional data projects, providing expertise as required.
- Deliver data solutions that support project goals and business outcomes.
- Proactively monitor systems and pipelines, identifying issues early and responding promptly to minimise disruption.
- Be part of a team of 5 data engineers.
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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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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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.
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Experience & Skills Required:
- Proven experience in Data Engineering, with strong hands-on experience in Python, Data Modelling, Data Warehousing.
- Strong background in incident resolution, requests, changes and problem-solving within SLAs.
- Hands-on experience with Spark, Data Architecture, SQL and Delta Lake.
- Cloud development experience (Azure / Fabric).
- Working knowledge of Medallion Architecture.
- Demonstrated capability in implementing and supporting pipelines in demanding environments.
- Strong communication skills and confidence presenting ideas and technical approaches.
- Willingness to learn, adopt and improve best practices and standards.
- Ability to work effectively in complex, high-pressure environments using both legacy and modern technologies.
- Strong analytical thinking and attention to detail.


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Desirable:
- Experience with Fabric, Azure, JIRA, Confluence, CI/CD, GitHub and Git Actions.
- Certifications in Data Engineering, Cloud, Data Modelling or Data Architecture.
- Experience with development lifecycle processes for data pipelines.
- STEM degree (Computer Science, Mathematics, Engineering, Physics) or equivalent practical experience.
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
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