Data Engineer

We're on the lookout for a Data Engineer who's confident working across Azure and Databricks and enjoys building things properly from the ground up.

This is a hands-on role where you'll be designing and maintaining modern data pipelines and playing a big part in how data moves through the business.

If you like solving real-world problems, improving how teams access and use data, and being part of a collaborative, forward-thinking team — we'd love to hear from you.

About the Role

• Building and managing SparkSQL or PySpark pipelines in an Azure Data Lakehouse setup.
• Using tools like Azure Data Factory, Data Lake Gen2, Databricks, and Synapse to bring together large data sets that are clean, reliable, and ready to use.
• Working with stakeholders across the business, to understand what's needed and help shape the data architecture to support it.
• Keeping a close eye on pipeline performance, resolving any issues, and looking for ways to make things run better.
• Making sure our data is secure across both cloud and on-prem platforms.
• Keeping documentation up to date so everyone can follow how the system works.
• Helping improve our DevOps approach, including CI/CD processes for data work.

What We're Looking For

• Solid experience as a Data Engineer working with modern data tools and platforms.
• Confidence with Azure services like ADF, Data Lake, Databricks, Synapse, and Azure SQL.
• Strong SQL skills and some hands-on experience with Python.
• Familiar with DevOps tools and practices, especially within the Azure environment.
• Understanding of data warehousing concepts and know how to get messy data into shape.
• Drive to take ownership of your work, ask good questions, and enjoy figuring things out.

Bonus Points For

• Databricks accreditation or certification.
• Experience with Power BI or other visualisation tools.
• A background in analytics, BI, or similar data-focused environments.

Why This Role?

• You'll have influence – This isn't a maintenance role. You'll help design how our data systems work.
• Plenty of variety – Cloud, on-prem, multiple teams — no two days will look the same.
• Trusted to get on with it – We hire people for their capability and let them do what they do best.
• Supportive team – Work with people who are collaborative, practical, and easy to get along with.
• Room to grow – Learn new tools, take on new challenges, and expand your skills.

If you're looking for a role where your work has real impact and you get to build things properly, this could be a great fit.

We're on the lookout for a Data Engineer who's confident working across Azure and Databricks and enjoys building things properly from the ground up.

This is a hands-on role where you'll be designing and maintaining modern data pipelines and playing a big part in how data moves through the business.

If you like solving real-world problems, improving how teams access and use data, and being part of a collaborative, forward-thinking team — we'd love to hear from you.

About the Role

• Building and managing SparkSQL or PySpark pipelines in an Azure Data Lakehouse setup.
• Using tools like Azure Data Factory, Data Lake Gen2, Databricks, and Synapse to bring together large data sets that are clean, reliable, and ready to use.
• Working with stakeholders across the business, to understand what's needed and help shape the data architecture to support it.
• Keeping a close eye on pipeline performance, resolving any issues, and looking for ways to make things run better.
• Making sure our data is secure across both cloud and on-prem platforms.
• Keeping documentation up to date so everyone can follow how the system works.
• Helping improve our DevOps approach, including CI/CD processes for data work.

What We're Looking For

• Solid experience as a Data Engineer working with modern data tools and platforms.
• Confidence with Azure services like ADF, Data Lake, Databricks, Synapse, and Azure SQL.
• Strong SQL skills and some hands-on experience with Python.
• Familiar with DevOps tools and practices, especially within the Azure environment.
• Understanding of data warehousing concepts and know how to get messy data into shape.
• Drive to take ownership of your work, ask good questions, and enjoy figuring things out.

Bonus Points For

• Azure Data Engineer Associate certification.
• Databricks accreditation or certification.
• Experience with Power BI or other visualisation tools.
• A background in analytics, BI, or similar data-focused environments.

Why This Role?

• You'll have influence – This isn't a maintenance role. You'll help design how our data systems work.
• Plenty of variety – Cloud, on-prem, multiple teams — no two days will look the same.
• Trusted to get on with it – We hire people for their capability and let them do what they do best.
• Supportive team – Work with people who are collaborative, practical, and easy to get along with.
• Room to grow – Learn new tools, take on new challenges, and expand your skills.

If you're looking for a role where your work has real impact and you get to build things properly, this could be a great fit.

Posted Date03 Jul 2025