Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain scalable data warehouse solutions and optimise data pipelines.
- Company: Leading health brand focused on innovation and making a real impact.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Shape how data drives decision-making in a fast-paced, impactful environment.
- Qualifications: Strong SQL, ETL development, Python skills, and cloud tech experience.
- Other info: Join a dynamic team and work with large, complex datasets.
The predicted salary is between 46800 - 78000 £ per year.
We’re partnering with a leading health brand that’s all about innovation, energy, and making a real impact - and they’re on the lookout for a Data Engineer to join their team! This is a fantastic opportunity to dive into a fast-paced environment, where your work will directly shape how data drives decision-making across the business.
What you’ll be doing:
- Designing and maintaining robust, scalable data warehouse solutions
- Building and optimising data pipelines
- Continuously improving ETL processes and ensuring data quality
What you’ll bring:
- Strong SQL and ETL development experience
- Python experience
- Solid knowledge of data warehousing
- Experience with cloud tech (Azure preferred)
- Comfortable working with large, complex datasets
Data Engineer in Slough employer: Uneek Global
Contact Detail:
Uneek Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL, ETL processes, and cloud tech. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. We recommend practising with friends or using mock interview platforms to get comfortable with articulating your experience.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your SQL, ETL, and Python experience right at the top. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include any relevant projects you've worked on, especially those involving data warehousing or cloud tech like Azure. This gives us a glimpse of your hands-on experience and problem-solving skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share why you're passionate about data engineering and how you can contribute to our innovative team. Keep it engaging and personal – we love a good story!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Uneek Global
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with SQL queries and how you've used them in past projects. Practising common SQL problems can help you feel more confident when answering technical questions.
✨Showcase Your ETL Expertise
Since the role involves optimising ETL processes, be ready to share specific examples of how you've improved data pipelines in previous roles. Discuss any challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills.
✨Familiarise Yourself with Cloud Technologies
If Azure is preferred, make sure you have a solid understanding of its features and how they relate to data warehousing. You might want to mention any relevant projects where you've used cloud tech, as this will show you're not just familiar but also experienced.
✨Prepare Questions About the Company
Interviews are a two-way street, so think of insightful questions to ask about the company's data strategy and how they leverage data for decision-making. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
