Data Engineer
Posted 29 Sep 2026
Advertised as “Lead Data Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- People management
- Employment
- Hybrid
No salary listed for this role.
Working at CreateFuture
CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital products and services that make a difference while always putting people first.
We’re a team of creators. We write code, shape delivery, build go-to-market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what’s not working and helping them to build the future. Our commitment to craft, quality, and culture has helped us scale to over 600 people in just a few years.
CreateFuture is a Great Place to Work-Certified™ company and has won Best Workplaces UK multiple years in a row.
**Join us on our journey. Let’s create tomorrow, together, today.
**
About the role and team:
We are looking for a Lead Data Engineer to own the technical direction of a data engagement, working with Microsoft Fabric, Python, and PySpark across our data team. You'll lead a team of data engineers, setting the standards for how pipelines and architecture are designed, built, and operated, while remaining hands-on with the most complex technical challenges. You'll work closely with client stakeholders and CreateFuture's wider engineering capability to ensure delivery is both technically excellent and commercially sound.
What you'll be doing:
- Own the technical direction of a data engagement, setting standards for pipeline architecture, data modelling, testing, and operational readiness
- Lead and technically direct a team of data engineers, allocating work, reviewing designs and code, and unblocking technical challenges
- Design and evolve data platform architecture on Microsoft Fabric, including data pipelines, Azure OneLake, and the broader Azure ecosystem
- Set and enforce CI/CD, testing, and operational practices across the engagement's data engineering workflows, using Azure DevOps
- Build professional relationships with key client stakeholders, translating business and data requirements into a coherent technical roadmap
- Troubleshoot and resolve the most complex issues in live data pipelines, and lead incident response when things go wrong