Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build scalable data pipelines on Google Cloud Platform.
- Company: Join a forward-thinking tech company focused on modern data solutions.
- Benefits: Competitive daily rate, remote work, and opportunities for professional growth.
- Why this job: Be at the forefront of data engineering and make a real impact.
- Qualifications: Experience with ETL/ELT pipelines and GCP data services required.
- Other info: Dynamic role with a focus on innovation and collaboration.
The predicted salary is between 45000 - 60000 £ per year.
We’re hiring a Senior Data Engineer to design, build, and optimise scalable data pipelines on Google Cloud Platform. This is a hands-on role for someone with a self-starter mindset who enjoys working with modern data architectures and open-source frameworks.
What you’ll be doing:
- Designing and building ETL/ELT pipelines
- Developing scalable data workflows on GCP
- Implementing robust data ingestion frameworks
- Working with structured and semi-structured data
- Collaborating with Data Modelling & Analytics teams
- Driving data reliability, monitoring, and observability
- Automating deployments and workflows
- Contributing to tooling and framework decisions
What we’re looking for:
- Strong ETL/ELT pipeline experience
- Proven GCP data services expertise
- Strong SQL and data transformation skills
- Experience with orchestration and pipeline automation
- Background in modern data architectures (lakehouse/warehouse)
- Proactive, ownership-driven mindset
Nice to have:
- Data Vault 2.0 exposure
- BigQuery optimisation experience
- Open-source data framework experience
- CI/CD for data pipelines
If you’re interested in building scalable, modern data platforms, feel free to reach out or apply.
GCP Data Engineer in Newport employer: Norton Blake
Contact Detail:
Norton Blake Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GCP Data Engineer in Newport
✨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 or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL/ELT projects and any GCP work you've done. This gives 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, especially around GCP services and SQL. Practising your answers will help you feel more confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you to join our team. Your next big opportunity could be just a click away!
We think you need these skills to ace GCP Data Engineer in Newport
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ETL/ELT pipelines and GCP data services. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about building modern data platforms and how your proactive mindset makes you a great fit for our team.
Showcase Your Technical Skills: Don’t forget to mention your SQL prowess and any experience with orchestration and pipeline automation. We love seeing candidates who can demonstrate their technical expertise in a clear and concise way.
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 to join our team!
How to prepare for a job interview at Norton Blake
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge. Be ready to discuss specific GCP services you've used, especially in relation to ETL/ELT pipelines. Familiarise yourself with the latest features and best practices to show you're not just experienced but also up-to-date.
✨Showcase Your Pipeline Experience
Prepare to talk about your past projects involving data pipelines. Have examples ready that highlight your role in designing and building scalable workflows. Use metrics to demonstrate the impact of your work, like performance improvements or cost savings.
✨Demonstrate Your Problem-Solving Skills
Expect questions that assess your ability to troubleshoot and optimise data processes. Think of scenarios where you faced challenges in data ingestion or pipeline automation and how you overcame them. This will showcase your proactive mindset and ownership-driven approach.
✨Collaborate and Communicate
Since collaboration is key in this role, be prepared to discuss how you've worked with analytics and data modelling teams in the past. Highlight your communication skills and how you ensure everyone is on the same page when driving data reliability and observability.