At a Glance
- Tasks: Build data solutions that enhance customer experiences and drive business decisions.
- Company: Specsavers, a mission-driven company focused on better sight and hearing.
- Benefits: Opportunity to work with modern tools, competitive salary, and career growth.
- Other info: Join a collaborative team that values innovation and curiosity.
- Why this job: Make a real impact on meaningful projects while developing your skills.
- Qualifications: Experience with SQL, Python, and cloud platforms, especially Azure.
The predicted salary is between 40000 - 55000 £ per year.
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.
Data Engineer in Hampshire employer: Specsavers
Contact Detail:
Specsavers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Hampshire
✨Tip Number 1
Network like a pro! Reach out to current Specsavers employees on LinkedIn, join relevant groups, and attend industry meetups. Building connections can give you insider info and might just land you a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those using Azure tools. This will not only demonstrate your technical abilities but also your passion for data engineering.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering questions and scenarios. Practice explaining your thought process clearly, as communication is key when working with both technical and non-technical teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Specsavers team.
We think you need these skills to ace Data Engineer in Hampshire
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Engineer role. Highlight your experience with Azure tools, SQL, and Python, and don’t forget to mention any projects that showcase your skills in building data solutions.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data and how you can contribute to our mission at Specsavers. Share specific examples of your work that align with the job description and show off your enthusiasm for the role.
Showcase Your Technical Skills: In your application, be sure to detail your technical expertise, especially with ETL tools and cloud platforms like Azure. We want to see how you’ve used these skills in real-world scenarios, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to join our Data Product team.
How to prepare for a job interview at Specsavers
✨Know Your Data Tools
Make sure you’re familiar with Azure Data Factory, Azure Databricks, and Azure SQL. Brush up on how these tools work and be ready to discuss your experience with them. It’s a great way to show you’re technically sharp and ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data challenges in the past. Whether it’s designing data pipelines or handling ETL processes, having specific scenarios to share will demonstrate your ability to transform business requirements into effective data solutions.
✨Communicate Clearly
Since you’ll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. This will help you stand out as someone who can bridge the gap between different teams and ensure everyone is on the same page.
✨Emphasise Your Curiosity and Growth Mindset
Specsavers values innovation and collaboration, so be sure to express your eagerness to learn and grow. Share any recent projects or courses you’ve undertaken that showcase your passion for building great data solutions and staying updated with industry trends.