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- Tasks: Design and develop complex data processing modules using Big Query and Tableau.
- Company: Join a forward-thinking company at the forefront of data analytics.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for growth.
- Why this job: Make an impact by optimising data solutions and collaborating with talented teams.
- Qualifications: Experience in data engineering and proficiency in Big Query and Tableau.
- Other info: Dynamic work environment with excellent career advancement potential.
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. For a complete understanding of this opportunity, and what will be required to be a successful applicant, read on. 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: Lime Street Recruitment Limited
Contact Detail:
Lime Street Recruitment Limited 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 working with GCP and data engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨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. Practice common questions related to GCP and data analytics to boost your confidence and impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to stay updated on new roles that match your skills.
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 data processing and tools like Big Query and Tableau. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 good fit for our culture.
Showcase Your Technical Skills: In your application, be specific about your technical skills and experiences. Mention any relevant projects or achievements that demonstrate your ability to design and develop complex data processing modules.
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 Lime Street Recruitment Limited
✨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.
✨Prepare for Technical Questions
Expect to face some technical questions or even a coding challenge. Practice common data engineering problems and be ready to explain your thought process. This will demonstrate your problem-solving skills and technical expertise.
✨Showcase Collaboration Skills
Since you’ll be working closely with various teams, highlight your experience in collaborative projects. Be prepared to discuss how you’ve worked with data scientists and engineers in the past, and how you can contribute to a team-oriented environment.
