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- Tasks: Design and maintain scalable data solutions while optimising data pipelines.
- Company: Leading health brand focused on innovation and impact.
- Benefits: Competitive salary, hybrid work model, and a dynamic team environment.
- Why this job: Shape data-driven decisions in a fast-paced, impactful role.
- Qualifications: Strong SQL, ETL, Python skills, and cloud tech experience.
- Other info: Join a vibrant team and grow your career in data engineering.
The predicted salary is between 39000 - 65000 £ 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 London employer: Uneek Global
Contact Detail:
Uneek Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your 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. Practice explaining your thought process when designing data pipelines or optimising ETL processes – it’ll show you know your stuff!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Engineer in London
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, and don’t forget to mention any cloud tech you've worked with, especially Azure!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your skills can help drive innovation at our health brand.
Showcase Your Projects: If you’ve worked on any relevant projects, make sure to include them in your application. We love seeing real examples of how you’ve built and optimised data pipelines or improved ETL processes.
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 important updates!
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 and how you've used it in past projects. You might even be asked to solve a problem on the spot, so practice writing queries and optimising them.
✨Show Off Your ETL Expertise
Since the role involves improving ETL processes, be ready to talk about your previous experiences with ETL development. Bring examples of challenges you've faced and how you overcame them. This will demonstrate your problem-solving skills and your ability to ensure data quality.
✨Familiarise Yourself with Cloud Technologies
If Azure is preferred, make sure you have a solid understanding of it. Research its features and how they relate to data warehousing. Being able to discuss how you've used cloud tech in your work will show that you're not just familiar but also comfortable with the tools they'll expect you to use.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific situations involving large datasets or data pipeline issues. Think through some scenarios beforehand and prepare your thought process. This will help you articulate your approach clearly and confidently during the interview.
