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- Tasks: Build scalable data pipelines on GCP using Python and cloud computing.
- Company: Global leader in technology with a focus on innovation.
- Benefits: Exciting challenges, dynamic environment, and growth opportunities.
- Why this job: Join a team dedicated to quality and innovation in tech.
- Qualifications: Over 5 years of experience in delivering robust data solutions.
- Other info: Fast-paced role with opportunities for professional development.
The predicted salary is between 43200 - 72000 £ per year.
A global leader in technology seeks a Senior Data Engineer in the City of Edinburgh, UK. The role focuses on building scalable data pipelines on GCP, requiring strong expertise in Python and cloud computing. Candidates should have over 5 years of experience in delivering robust data solutions and be comfortable with fast feature delivery. Join a team dedicated to innovation and quality in a dynamic environment, offering exciting challenges and growth opportunities.
Senior Data Engineer: Build Scalable GCP Pipelines employer: Blis
Contact Detail:
Blis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Build Scalable GCP Pipelines
✨Tip Number 1
Network like a pro! Reach out to current employees at the company or in similar roles on LinkedIn. A friendly chat can give us insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your best data pipelines and projects. This is your chance to demonstrate your expertise in Python and GCP.
✨Tip Number 3
Ace the interview by practising common technical questions related to data engineering. We can help you with mock interviews to boost your confidence and ensure you're ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Data Engineer: Build Scalable GCP Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with GCP and Python. We want to see how you've built scalable data pipelines before, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data engineering and how you can contribute to our innovative team. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve fast feature delivery and robust solutions.
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 in Edinburgh!
How to prepare for a job interview at Blis
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge. Be ready to discuss how you've built scalable data pipelines in the past, and be prepared to share specific examples of challenges you've faced and how you overcame them.
✨Show Off Your Python Skills
Since Python is a key requirement for this role, come armed with examples of your coding work. You might even want to prepare a small coding challenge or two to demonstrate your problem-solving skills during the interview.
✨Emphasise Your Experience
With over 5 years of experience being a must, make sure to highlight your previous roles and projects. Discuss how you've delivered robust data solutions and how your experience aligns with the fast-paced environment they’re looking for.
✨Be Ready for Innovation Questions
This company values innovation, so expect questions about how you approach new technologies and methodologies. Think of examples where you've implemented innovative solutions or improved existing processes, and be ready to share your thought process.
