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- Tasks: Design and develop data processing modules using Big Query and Tableau.
- Company: Join a leading data analytics firm with a focus on innovation.
- Benefits: Attractive salary, flexible working hours, and opportunities for skill development.
- Why this job: Be at the forefront of data analytics and make a significant impact.
- Qualifications: Experience in data engineering and familiarity with data visualisation tools.
- Other info: Collaborative team environment with great potential for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
In the role you will be designing and developing complex data processing modules and reporting using Big Query and Tableau. In addition, you will also work closely with the Infrastructure/Platform Team who are responsible for architecting, and operating the core of the client's Data Analytics platform.
You will:
- Work with both the business teams, data scientists and engineers to design, build, optimise.
GCP Data Engineer in London employer: Confidential
Contact Detail:
Confidential Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GCP Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with GCP and data engineering. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Big Query and Tableau. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your data processing knowledge. Be ready to discuss your experience with designing and optimising data modules, as well as how you collaborate with teams.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented GCP Data Engineers like you. Plus, it’s the best way to ensure your application gets noticed!
We think you need these skills to ace GCP Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with GCP, Big Query, and Tableau. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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. We love seeing enthusiasm and a bit of personality!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We’re looking for someone who can think critically and work collaboratively with our data scientists and engineers.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Confidential
✨Know Your Tech Stack
Make sure you’re well-versed in GCP, BigQuery, and Tableau. Brush up on your knowledge of data processing modules and be ready to discuss how you've used these tools in past projects. This will show that you’re not just familiar with the tech but can also apply it effectively.
✨Understand the Business Context
Get a grasp of how data analytics impacts the business. Research the company’s industry and think about how your role as a Data Engineer can drive value. Being able to connect your technical skills to business outcomes will impress the interviewers.
✨Collaborate Like a Pro
Since you’ll be working closely with data scientists and engineers, be prepared to discuss your experience in collaborative environments. Share examples of how you’ve successfully worked in teams to design and optimise data solutions, highlighting your communication skills.
✨Prepare for Problem-Solving Questions
Expect to tackle some technical challenges during the interview. Practice common data engineering problems and be ready to explain your thought process. This will demonstrate your analytical skills and ability to think on your feet, which are crucial for the role.
