Data Engineer

Data Engineer

Specsavers

St. Andrews, Fife

£55,000 per annum

NEW

At Specsavers, we're on a mission to change lives through better sight and hearing-and data is at the heart of how we do it. We're looking for a Data Engineer to join our growing Data Product team, where you'll help build the data solutions that power everything from customer experiences to business decisions.

This is your chance to work on meaningful, high-impact projects. You'll be part of a collaborative team that transforms business requirements into scalable, secure, and high-quality data products. Whether you're designing data pipelines, modelling datasets, or supporting data migrations, your work will help shape the way Specsavers uses data across the organisation. You'll be hands-on with modern tools like Azure Data Factory, Azure Databricks, and Azure SQL, and you'll play a key role in ensuring our data is accurate, accessible, and trusted.

We're looking for someone who's technically sharp and eager to grow. You'll need a solid understanding of how databases work, experience with ETL tools, and strong skills in SQL and Python. You'll be comfortable working with cloud platforms especially within the Azure ecosystem and have experience working with Databricks. You'll know how to document your work clearly and communicate effectively with both technical and non-technical stakeholders. If you've got experience 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.

So, are you 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 values innovation and collaboration, we'd love to hear from you. Join us and help shape the data products that drive better outcomes for millions of people.

• Solid understanding of how databases work


• Experience with ETL tools


• Strong skills in SQL and Python


• Comfort with cloud platforms, especially within the Azure ecosystem


• Experience with Databricks


• Ability to document work clearly and communicate effectively with both technical and non-technical stakeholders


• Bonus: experience in business analysis, audit, or support


• Curiosity, drive to learn, and passion for building great data solutions

#s1-Gen

At Specsavers, we're on a mission to change lives through better sight and hearing-and data is at the heart of how we do it. We're looking for a Data Engineer to join our growing Data Product team, where you'll help build the data solutions that power everything from customer experiences to business decisions.

This is your chance to work on meaningful, high-impact projects. You'll be part of a collaborative team that transforms business requirements into scalable, secure, and high-quality data products. Whether you're designing data pipelines, modelling datasets, or supporting data migrations, your work will help shape the way Specsavers uses data across the organisation. You'll be hands-on with modern tools like Azure Data Factory, Azure Databricks, and Azure SQL, and you'll play a key role in ensuring our data is accurate, accessible, and trusted.

We're looking for someone who's technically sharp and eager to grow. You'll need a solid understanding of how databases work, experience with ETL tools, and strong skills in SQL and Python. You'll be comfortable working with cloud platforms especially within the Azure ecosystem and have experience working with Databricks. You'll know how to document your work clearly and communicate effectively with both technical and non-technical stakeholders. If you've got experience 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.

So, are you 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 values innovation and collaboration, we'd love to hear from you. Join us and help shape the data products that drive better outcomes for millions of people.