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- Tasks: Lead the creation of a cutting-edge GCP data analytics platform and mentor a talented team.
- Company: Dynamic UK tech company focused on innovation and growth.
- Benefits: Up to £100k salary, bonuses, and flexible hybrid working options.
- Why this job: Shape the future of data engineering in a greenfield project with real impact.
- Qualifications: 5+ years in data engineering with strong GCP skills.
The predicted salary is between 60000 - 84000 £ per year.
A UK-based technology company is seeking an experienced Senior Data Engineer to build a new GCP data analytics platform. This is a greenfield opportunity where you will shape architecture and delivery, lead technical design, and mentor a data engineering team.
Ideal candidates have at least 5 years of experience in data engineering and strong GCP expertise. The position offers a salary up to £100k plus bonus and ample benefits with a very flexible hybrid working environment.
GCP Data Platform Lead — Senior Data Engineer (Hybrid, London) employer: Uneek Global
Contact Detail:
Uneek Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GCP Data Platform Lead — Senior Data Engineer (Hybrid, London)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those with GCP experience. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving GCP. This will give potential employers a taste of what you can bring to their new data analytics platform.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data engineering scenarios and be ready to discuss how you would approach building a GCP data platform from scratch.
✨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 GCP Data Platform Lead — Senior Data Engineer (Hybrid, London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and GCP. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this greenfield opportunity and how you can contribute to shaping the architecture and delivery of our new GCP data analytics platform.
Showcase Your Leadership Skills: Since this role involves mentoring a data engineering team, make sure to highlight any leadership or mentoring experiences you’ve had. We love seeing candidates who can inspire and guide others!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Uneek Global
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge. Be ready to discuss specific services like BigQuery, Dataflow, and Pub/Sub, and how you've used them in past projects. This will show that you're not just familiar with GCP but can also leverage it effectively.
✨Showcase Your Architectural Skills
Since this role involves shaping architecture, prepare to talk about your previous experiences designing data platforms. Bring examples of how you approached technical design challenges and the decisions you made. This will demonstrate your ability to lead and innovate.
✨Mentorship Matters
As a Senior Data Engineer, mentoring is key. Think of instances where you've guided junior team members or led a project. Be ready to share your approach to mentorship and how you foster a collaborative environment within your team.
✨Prepare for Scenario-Based Questions
Expect questions that put you in hypothetical situations related to data engineering challenges. Practice articulating your thought process and problem-solving strategies. This will help interviewers see how you think on your feet and tackle real-world issues.
