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- Tasks: Design and build modern data platforms in a cloud-first environment.
- Company: Leading organisation transforming their data and platform engineering.
- Benefits: Competitive salary, hybrid work, and opportunities for mentorship.
- Other info: Join a dynamic team during an exciting cloud transformation.
- Why this job: Make a real impact on technology while mentoring junior engineers.
- Qualifications: 5+ years as a Data Engineer with strong SQL and Python skills.
The predicted salary is between 60000 - 80000 £ per year.
VIQU have partnered with a leading organisation seeking a Senior Data Engineer to join their Data and Platform Engineering team during an exciting period of cloud and data platform transformation. In this hands-on role, you will design, build, and deliver modern data platforms within a cloud-first, Data Mesh environment, work closely with product managers, architects, and engineers, take ownership of your projects, and mentor junior colleagues, making a real impact on both the technology and the team.
Lead the design, development, and delivery of cloud-based data platforms and data products as a Senior Data Engineer.
- Own the full data product lifecycle, from initial design through to decommissioning.
- Build and maintain robust ETL / ELT pipelines using SQL, Python, and modern tooling.
- Act as the go-to technical expert for junior engineers, providing mentorship, code reviews, and quality assurance.
- Contribute to cloud platform development, with a strong preference for GCP (BigQuery), within a Data Mesh architecture.
5+ years’ experience as a Data Engineer with a strong focus on ETL / ELT.
- Advanced SQL and Python development skills.
- Proven experience working on cloud platforms – ideally GCP (BigQuery), but Azure or AWS also considered.
- Strong understanding of Data Mesh, Test Driven Design, and Agile delivery.
GCP Big Data Engineer employer: VIQU IT Recruitment
Contact Detail:
VIQU IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GCP Big Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and showcasing your GCP expertise. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Don’t forget to follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. We suggest mentioning something specific from your conversation to make it personal.
✨Tip Number 4
Apply through our website for the best chance at landing that role. We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates!
We think you need these skills to ace GCP Big Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the GCP Big Data Engineer role. Highlight your experience with ETL/ELT processes, SQL, and Python, and don’t forget to mention any cloud platform work, especially with GCP.
Showcase Your Projects: When writing your application, include specific projects where you’ve designed and delivered data platforms. This will show us your hands-on experience and how you can contribute to our team.
Be Clear and Concise: Keep your application clear and to the point. Use bullet points for key achievements and skills, making it easy for us to see why you’re a great fit for the role.
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 keep track of your application and get back to you quickly!
How to prepare for a job interview at VIQU IT Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've built ETL/ELT pipelines, and don't shy away from diving into technical details. The more confident you are in your technical knowledge, the better you'll impress the interviewers.
✨Understand Data Mesh Concepts
Since this role involves working within a Data Mesh architecture, it’s crucial to understand its principles. Be prepared to explain how you’ve applied these concepts in past projects or how you would approach implementing them. This shows that you’re not just technically skilled but also aligned with their strategic vision.
✨Showcase Your Mentorship Skills
As a senior engineer, you’ll be expected to mentor junior colleagues. Think of examples where you’ve provided guidance or conducted code reviews. Highlighting your ability to lead and support others will demonstrate that you’re a team player and ready for this responsibility.
✨Prepare Questions About Their Cloud Strategy
Interviews are a two-way street! Prepare insightful questions about their cloud platform development and how they envision the future of their data products. This not only shows your interest in the role but also gives you a chance to assess if their goals align with yours.