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For Companies At a Glance
- Tasks: Lead the design and implementation of a cutting-edge GCP data analytics platform.
- Company: Join a forward-thinking UK organisation with a focus on innovation.
- Benefits: Up to £100k salary, bonuses, and flexible hybrid working options.
- Why this job: Shape the future of data engineering and make a real impact from day one.
- Qualifications: 5 years in data engineering and 3 years hands-on with GCP required.
- Other info: Collaborative Agile environment with opportunities for mentorship and growth.
The predicted salary is between 72000 - 84000 £ per year.
We’re recruiting on behalf of a UK organisation building a brand new GCP data analytics platform from the ground up. This is a greenfield opportunity for a hands-on Lead Data Engineer to shape architecture, standards, and delivery from day one. You’ll provide technical leadership across the data engineering team, working closely with senior stakeholders to design and deliver a scalable, reliable analytics platform that drives real business value.
On Offer
- Salary up to £100k
- Bonus
- Great benefits
- Very flexible hybrid working
What You’ll Do
- Lead technical design and implementation decisions across the GCP data platform
- Define engineering standards, patterns, and best practice
- Deliver end-to-end data products, from ingestion to curated datasets and marts
- Mentor and support data engineers in a collaborative, Agile environment
What We’re Looking For
- 5 years’ experience as a Data Engineer, including production data pipelines
- 3 years’ hands-on GCP experience
- Solid understanding of medallion architecture
- Strong communication skills and Agile experience
Lead Data Engineer (GCP) employer: Uneek Global Ltd
Contact Detail:
Uneek Global Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer (GCP)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with GCP. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving GCP and data pipelines. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with medallion architecture and how you've led teams in an Agile environment.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you a leg up in the process. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Lead Data Engineer (GCP)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Engineer role. Highlight your GCP experience and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Experience: In your application, don’t just list your past jobs. Share specific examples of how you've led technical design and implementation decisions. We love seeing real-world applications of your skills!
Be Clear and Concise: When writing your cover letter or application, keep it clear and to the point. We appreciate straightforward communication, so make sure you convey your passion for data engineering without fluff.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people!
How to prepare for a job interview at Uneek Global Ltd
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge. Be ready to discuss your hands-on experience with GCP, especially in relation to data pipelines and medallion architecture. Prepare examples of how you've implemented these in past projects.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll need to demonstrate your ability to lead and mentor. Think of specific instances where you've guided a team or made key architectural decisions. Highlight your experience in fostering collaboration in an Agile environment.
✨Prepare for Technical Questions
Expect technical questions that dive deep into data engineering concepts and best practices. Brush up on your knowledge of engineering standards and patterns. Practise explaining complex ideas simply, as you'll need to communicate effectively with senior stakeholders.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data analytics platform and their vision for it. This shows your genuine interest and helps you assess if the role aligns with your career goals.
