Data Engineer

Fed up with owning just one small piece of the data puzzle? Want a role where you can get involved in everything and actually see the impact of your work?

We're working with an established, multi-site property owner and operator that's investing in its data capabilities and looking for a Data Engineer to join its small, collaborative in-house team.

They've already built a modern Azure Databricks platform using Medallion architecture, with Power BI sitting on top. Now they're moving into an exciting next phase, bringing new data sources onto the platform, improving data quality and helping the business get even more value from its data.

What makes this opportunity stand out is the variety. You'll work with data spanning Finance, HR, CRM, Property and Operations, collaborating directly with system owners and stakeholders to understand challenges, build solutions and shape how information is used across the business.

It's a flat, supportive team where you'll have real ownership, plenty of autonomy and the freedom to suggest better ways of doing things. You won't just be maintaining pipelines, you'll be helping move the platform forward.

You’ll be hands‑on with Azure Databricks, building and optimising pipelines across the Bronze, Silver and Gold layers, while integrating new data sources through APIs and system extracts.

You’ll investigate data quality issues, trace anomalies back to source systems and work closely with stakeholders to get things right. You’ll also help shape data transformations, ensure the Gold layer delivers what Power BI needs, and make sure the business can trust the information it’s using.

Alongside this, you’ll work with Azure Dev Ops, CI/CD and data documentation, helping keep the platform reliable, efficient and easy to understand.

You’ll need commercial experience building production pipelines in Azure Databricks, a good understanding of Medallion architecture, strong SQL skills and experience with Azure Dev Ops CI/CD.

You’ll also be someone who can communicate clearly, document your work effectively and enjoys working with people outside the data team.

Experience with Python, Power BI semantic models or data analysis would be a bonus, as would exposure to property or facilities management data, but industry experience isn't essential.

• Salary up to £64,000
• Discretionary bonus up to 20%, based on company and individual performance
• 25 days' holiday, with the option to buy five more
• 5% contributory pension
• Discounts on gym memberships, electric cars and shopping
• Support towards professional qualifications and certifications

This is a great opportunity for a Data Engineer who wants more variety, more ownership and more visibility than you'd typically find in a larger data team.

The foundations are already in place, the technology is modern, and there's plenty of interesting work ahead. You'll have the opportunity to influence how the platform evolves, broaden your experience across different business areas and see the genuine impact of what you deliver.

If you enjoy solving problems, working with modern data technology and having a real say in how things are done, this is definitely worth a conversation.