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- Tasks: Design and maintain scalable data warehouse solutions and optimise data pipelines.
- Company: Leading health brand focused on innovation and impact.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Shape data-driven decision-making in a fast-paced, impactful environment.
- Qualifications: Strong SQL, ETL development, and Python experience required.
- Other info: Join a dynamic team and make a real difference in health innovation.
The predicted salary is between 43200 - 72000 £ 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.
- Designing and maintaining robust, scalable data warehouse solutions
- Building and optimising data pipelines
- Continuously improving ETL processes and ensuring data quality
- Strong SQL and ETL development experience
- Python experience
- Solid knowledge of data warehousing
Senior Engineer, Data Engineering in London employer: Uneek Global
Contact Detail:
Uneek Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company you're eyeing, especially those in data engineering roles. A friendly chat can give us insights into the team culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that highlights your SQL and Python prowess. This hands-on demonstration can really set you apart during interviews.
✨Tip Number 3
Stay updated on industry trends! Follow relevant blogs and forums to discuss the latest in data warehousing and ETL processes. This knowledge can help us impress during interviews and show our passion for the field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have insider tips and resources to help you ace the process.
We think you need these skills to ace Senior Engineer, Data Engineering in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Engineer, Data Engineering role. Highlight your SQL, ETL, and Python expertise, as well as any relevant projects that showcase your ability to design and maintain data warehouse solutions.
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 you can contribute to our innovative health brand. Be sure to mention specific examples of how you've optimised data pipelines or improved ETL processes in the past.
Showcase Your Problem-Solving Skills: In your application, don’t just list your technical skills; demonstrate how you've used them to solve real-world problems. Share stories about challenges you've faced in data engineering and how you tackled them, especially in fast-paced environments.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, we love seeing applications come through our own platform!
How to prepare for a job interview at Uneek Global
✨Know Your Data Inside Out
Make sure you brush up on your SQL and ETL skills before the interview. Be ready to discuss specific projects where you've designed data warehouses or optimised data pipelines. Having concrete examples will show your expertise and how you can contribute to their innovative environment.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, especially related to data quality and ETL processes. Think of a couple of scenarios where you improved a process or solved a tricky problem. This will demonstrate your ability to thrive in a fast-paced setting.
✨Familiarise Yourself with Their Tech Stack
Research the tools and technologies the company uses for data engineering. If they mention specific frameworks or platforms in the job description, make sure you understand them. This shows that you're proactive and genuinely interested in how you can fit into their team.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and how the data engineering team collaborates with other departments. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values.
