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- Tasks: Enhance data infrastructure and build impactful data products with cross-functional teams.
- Company: A data-driven company in the UK focused on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in data engineering.
- Qualifications: 1-3 years of data engineering experience with advanced SQL and cloud tech knowledge.
- Other info: Based in London or Petersfield with excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
A data-driven company in the United Kingdom seeks a Data Engineer to enhance their internal data infrastructure. Responsibilities include collaborating with cross-functional teams to build impactful data products while maintaining and improving the data engineering stack.
The ideal candidate will have 1-3 years of experience in data engineering with advanced SQL skills and a strong understanding of cloud technologies like Google Cloud. This hybrid role is based in either London or Petersfield.
Data Engineer: Cloud, SQL & Python | Hybrid employer: Feefo
Contact Detail:
Feefo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Cloud, SQL & Python | Hybrid
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering field on LinkedIn or at local meetups. 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 and cloud technologies. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when solving problems, as collaboration is key in this role.
✨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: Cloud, SQL & Python | Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with SQL and cloud technologies. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our data-driven mission. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to see your hands-on experience and creativity in action.
Apply Through Our Website: We encourage you to apply directly 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 from us!
How to prepare for a job interview at Feefo
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to answer technical questions and possibly solve problems on the spot. Practising common SQL queries and understanding how to optimise them will give you a solid edge.
✨Familiarise Yourself with Cloud Technologies
Since the role involves cloud technologies, especially Google Cloud, take some time to understand its services and how they relate to data engineering. Being able to discuss your experience or knowledge of cloud solutions will show that you're ready to hit the ground running.
✨Showcase Your Collaboration Skills
This position requires working with cross-functional teams, so be ready to share examples of how you've successfully collaborated in the past. Highlight any projects where teamwork was key to achieving results, as this will demonstrate your ability to fit into their culture.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about their data infrastructure and future projects. This not only shows your interest in the role but also gives you insight into whether the company is the right fit for you.
