We're looking for a Data Engineer to join a fast-growing technology business that builds and runs the data platforms behind a global operation supporting thousands of customers. This is a genuine opportunity to get hands-on with a modern Azure and Snowflake-based stack, working alongside a collaborative data team that's actively investing in better tooling, cleaner pipelines, and smarter ways of turning data into decisions.
You'll be involved in designing, building, and improving data pipelines and warehouse solutions, not maintaining legacy spaghetti, but contributing to a platform that's evolving, with real scope to bring in new ideas around Azure Fabric, Azure Data Factory, and even AI-driven tooling like Snowflake Cortex if that's an area that interests you. The team is small enough that your work will have visible impact, and supportive enough that you won't be thrown in the deep end as there's a genuine "ask for help, share what you know" culture. We're more interested in attitude than a perfect tick-list: curious, proactive, happy to dig into a problem.
What you'll be doing
Designing, building, and optimising data pipelines and ETL/ELT workflows across SQL Server, Azure SQL, and Snowflake Owning small-to-medium pieces of work end-to-end, with support from more experienced colleagues when you need it Collaborating with the wider data team on architecture, code quality, and best practice Helping shape how the platform evolves, including exploring newer tools like Azure Fabric and Snowflake Cortex Supporting and sharing knowledge with colleagues earlier in their data engineering journey What we're looking for
Solid hands-on experience with T-SQL and SQL Server Experience building real-world data pipelines pulling from varied sources (APIs, FTP, direct integrations) Some exposure to Snowflake, or a genuine appetite to get stuck in A curious, proactive mindset, comfortable owning problems but happy to ask for help when needed What's in it for you
Hybrid working with just one day a week in the office Extra holiday that grows with service, plus your birthday off Enhanced family leave (maternity, paternity) and sick pay Wellbeing support, including local gym membership and an EAP Free on-site parking If you're a data engineer who wants to do meaningful, modern work without the bureaucracy of a huge corporate, we'd love to hear from you Only candidates based in UK and eligible to work in UK are allowed
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