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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: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Shape data-driven decisions in a fast-paced, impactful environment.
- Qualifications: Strong SQL, ETL development, and Python skills required.
- Other info: Join a dynamic team dedicated to making a difference.
The predicted salary is between 36000 - 60000 £ 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
Requirements:
- Strong SQL and ETL development experience
- Python experience
- Solid knowledge of data warehousing
Ingegnere dei dati (f/m) in London employer: Uneek Global
Contact Detail:
Uneek Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ingegnere dei dati (f/m) 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 Python. 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 – clarity is key!
✨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 Ingegnere dei dati (f/m) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, ETL processes, and Python. We want to see how your skills align with the role of a Data Engineer, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about this opportunity and how you can contribute to our innovative health brand. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data engineering. Whether it’s optimising data pipelines or ensuring data quality, we want to know how you’ve made an impact in your previous roles.
Apply Through Our Website: We encourage you to apply directly 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 from us!
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 pipelines or improved ETL processes. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, especially related to data quality and warehousing. Think of examples where you identified a problem and implemented a solution. This demonstrates your ability to think critically and adapt in a fast-paced environment.
✨Familiarise Yourself with the Company
Research the health brand you're interviewing with. Understand their mission, values, and how they use data to drive decision-making. This knowledge will help you tailor your answers and show genuine interest in contributing to their innovative approach.
✨Practice Technical Questions
Expect technical questions related to Python and data warehousing. Brush up on common algorithms, data structures, and best practices in data engineering. Practising these will help you feel more confident and prepared to tackle any technical challenges during the interview.
