Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build data solutions and design data pipelines for impactful projects.
- Company: Join Specsavers, a leader in the optical retail industry.
- Benefits: Competitive salary, growth opportunities, and a supportive team environment.
- Other info: Exciting chance to contribute to high-impact data products.
- Why this job: Work with data at scale and enhance your skills in a dynamic setting.
- Qualifications: Strong SQL and Python skills, plus experience with ETL tools and Azure.
The predicted salary is between 45000 - 55000 £ per year.
Specsavers is seeking a Data Engineer to join their Data Product team in Whiteley, England. In this role, you will be involved in building data solutions, including designing data pipelines and supporting data migrations.
A strong understanding of SQL and Python, as well as experience with ETL tools and Azure platforms is essential. If you're passionate about data and looking to grow your skills, this opportunity to work on high-impact projects could be for you.
Data Engineer: Build Trusted Data Products at Scale (Azure) in Hampshire employer: Specsavers
Contact Detail:
Specsavers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Build Trusted Data Products at Scale (Azure) in Hampshire
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Specsavers on LinkedIn. A friendly chat can give us insider info about the team and the projects, plus it shows our genuine interest in the role.
✨Tip Number 2
Prepare for technical interviews by brushing up on SQL and Python. We should practice coding challenges and be ready to discuss our past projects involving ETL tools and Azure. Confidence is key!
✨Tip Number 3
Showcase our passion for data during interviews. We can share examples of how we've used data to solve problems or improve processes. This will help us stand out as candidates who truly care about the work.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight our skills that match the job description perfectly.
We think you need these skills to ace Data Engineer: Build Trusted Data Products at Scale (Azure) in Hampshire
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and Azure. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data and how you can contribute to our Data Product team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any data solutions or pipelines, make sure to mention them in your application. We’re keen to see examples of your work, especially if they involve ETL tools or Azure platforms.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Specsavers
✨Know Your Tech Stack
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these languages in past projects, especially in relation to data pipelines and ETL processes. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data engineering and how you overcame them. Think of examples where you designed a data solution or migrated data successfully. This will demonstrate your ability to tackle real-world problems, which is crucial for the role.
✨Familiarise Yourself with Azure
Since the role involves working with Azure platforms, make sure you understand the key services and tools available. If you’ve worked with Azure before, be ready to share your experiences. If not, do some research on how Azure can be leveraged for data engineering tasks.
✨Ask Insightful Questions
Prepare a few thoughtful questions about Specsavers' data initiatives or the team’s current projects. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to engage with your interviewers on a deeper level.