Azure Data Engineer |12 Month FTC | Azure Data factory | Azure Devops | Azure Batch

Azure Data Engineer – FinTech | Azure | Data |12-month FTC
London – Remote in office 4 times in a fortnight (flexible)
Salary & Benefits – Up to £75,000 + 8 to 12% Pension, Life Assurance, Health & Dental Insurance, 25+ days annual leave + other flexible benefits

Azure Data factory | Logic Apps | Azure Batch | Azure Functions | Azure DevOps |

I’m working with a pioneering organisation in the UK fintech landscape who are on the hunt for an experienced Azure Data Engineer to join their fast-moving Intelligent Automation Team.

This isn’t your average data gig. You’ll be building and scaling Azure-native pipelines that power the next phase of AI-led transformation in financial services. If you're passionate about clean architecture, impactful automation, and cutting through the noise with robust cloud data solutions — you’ll thrive here.

This role is a 12 month FTC and would suite someone who wants to dive into a new challenge for the next year or so.
Role as an Azure Data Engineer:

Crafting and optimising data pipelines using Azure services
Collaborating with product owners, developers, and analysts in an agile setup
Owning user stories and driving sprint planning from a data perspective
Sharing knowledge across tech teams and building documentation that lastsTech stack:

Azure Data Factory, Logic Apps, Azure Functions, Batch
SQL, Cosmos DB
CI/CD with Azure DevOps & Bicep Templates
Bonus: Python and Power Platform exposureExperience:

2–3+ years building scalable data solutions in Azure
A strong grasp of cloud data architecture and agile delivery
Excellent stakeholder communication — you can make technical concepts land with clarityThis team is making big moves — and they want someone who can keep up the momentum while bringing fresh thinking to the table. If you're ready to engineer solutions that make a real-world impact, let’s chat.
Email: (url removed)

Azure Data factory | Logic Apps | Azure Batch | Azure Functions | Azure DevOps