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- Tasks: Build and monitor robust data processing pipelines in GCP while mentoring team members.
- Company: Leading UK technology company with a focus on innovation and collaboration.
- Benefits: Competitive salary, professional development, and a dynamic work environment.
- Why this job: Join a collaborative team and contribute to high-scale systems that drive business growth.
- Qualifications: Over 5 years of experience, proficiency in Python, and strong data governance knowledge.
- Other info: Exciting opportunities for career advancement in an innovative setting.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology company based in the UK is seeking an experienced Data Engineer to build robust data processing pipelines. This role involves designing and monitoring pipelines in GCP, mentoring team members, and exploring new data sources for business growth.
Ideal candidates will have:
- Over 5 years of experience
- Proficiency in Python
- A strong understanding of data governance, ensuring efficient data management
Join a collaborative team and contribute to high-scale systems in an innovative environment.
Senior Data Engineer — Scalable GCP Pipelines employer: Blis
Contact Detail:
Blis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Scalable GCP Pipelines
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with GCP or data engineering. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines and projects. This is your chance to demonstrate your Python prowess and understanding of data governance in a practical way.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Think about how you would design scalable systems and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Data Engineer — Scalable GCP Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with GCP and data pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing your Python proficiency and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Mention specific experiences that relate to mentoring and exploring new data sources.
Showcase Your Problem-Solving Skills: In your application, give examples of challenges you've faced in previous roles and how you tackled them. We love seeing candidates who can think critically and innovate, especially when it comes to data governance and management.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
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 designed and monitored data pipelines in GCP, as well as any challenges you've faced and how you overcame them.
✨Show Off Your Python Skills
Prepare to demonstrate your proficiency in Python. Think of specific projects where you've used Python for data processing and be ready to explain your code or logic behind it. This will show your technical depth.
✨Mentorship Matters
Since mentoring is part of the role, think about examples where you've guided team members or contributed to their growth. Share how you approach mentorship and the impact it had on your team.
✨Data Governance is Key
Be prepared to discuss your understanding of data governance. Highlight your experience with ensuring efficient data management and compliance, and how it contributes to business growth. This shows you're not just a techie but also understand the bigger picture.
