Data Engineer

55,000 DOE + Car allowance + Bonus

We offer two bonuses (personal performance paid quarterly and company performance paid annually) with private healthcare and dental cover and a generous pension scheme.

At Specsavers, we’re transforming lives through better sight and hearing—and data is at the heart of everything we do. If you’re a curious, driven Data Engineer looking to make a real impact, this is your chance to be part of something meaningful.

You’ll join our growing Data Product team, where we build the data solutions that power everything from customer experiences to strategic decisions. Every day, you’ll be hands-on with modern tools like Azure Data Factory, Azure Databricks, and Azure SQL—designing and developing data pipelines, modelling datasets, and supporting data migrations. You’ll work closely with analysts, product owners, and stakeholders to understand business needs and translate them into scalable, secure, and high-quality data products.

Expect to dive into troubleshooting, performance tuning, and ensuring our data is accurate, accessible, and trusted. You’ll also document your work clearly and share knowledge across the team, helping Specsavers make smarter decisions with confidence.

We’re looking for someone who’s technically sharp and eager to grow. You’ll bring solid experience with SQL, Python, and ETL tools, and be comfortable working in the Azure ecosystem—especially with Databricks. If you’ve got a background in business analysis, audit, or support, that’s a bonus—but what really matters is your curiosity, your drive to learn, and your passion for building great data solutions.

At Specsavers, you’ll be part of a collaborative, innovative environment where your ideas are valued and your development is supported. You’ll work on projects that matter, with the freedom to explore new technologies and approaches.

Ready to engineer the future of data at Specsavers? If you’re looking for a role where you can make a difference, grow your skills, and be part of a team that’s shaping the future of data, we’d love to hear from you.