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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 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 City of London employer: Uneek Global
Contact Detail:
Uneek Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in City of London
✨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 help you land 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. We recommend practising your answers to technical questions and being ready to discuss your experience with large datasets and data warehousing.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to make an impact in the health sector.
We think you need these skills to ace Data Engineer in City of 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. We want to see how your skills align with what we’re looking for!
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. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you’ve worked on any relevant projects, make sure to include them in your application. Whether it’s building data pipelines or optimising ETL processes, we want to see your hands-on experience and how you tackle challenges.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our team!
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. Have specific examples in mind where you’ve successfully implemented or optimised ETL pipelines, and be prepared to discuss the challenges you faced and how you overcame them.
✨Demonstrate Your Cloud Knowledge
If you have experience with Azure or any other cloud technologies, make sure to highlight that during the interview. Discuss any projects where you utilised cloud services for data warehousing or processing, and be ready to explain how you approached those tasks.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills with large datasets. Think of examples where you had to troubleshoot data quality issues or optimise data pipelines. This will show your analytical thinking and ability to work under pressure.
