Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop data processing modules using Big Query and Tableau.
- Company: Join a forward-thinking company focused on data analytics and innovation.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for growth.
- Why this job: Make an impact by optimising data pipelines and supporting business growth.
- Qualifications: Experience in data engineering and familiarity with GCP/Big Query.
- Other info: Collaborative environment with a focus on data quality and governance.
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, and maintain production grade data pipelines and reporting from an internal Data warehouse solution, based on GCP/Big Query.
- Work with finance, actuaries, data scientists, and engineers to understand how the client can make best use of new internal and external data sources.
- Work with the client's delivery partners to ensure robustness of design and engineering of the data model/MI and reporting which can support their ambitions for growth and scale.
- BAU ownership of data models, reporting, and integrations/pipelines.
- Create frameworks, infrastructure, and systems to manage and govern data assets.
- Produce detailed documentation to allow ongoing BAU support and maintenance of data structures, schema, reporting, etc.
- Work with the broader Engineering community to develop the client's data and MLOps capability infrastructure.
- Ensure data quality, governance, and compliance with internal and external standards.
- Monitor and troubleshoot data pipeline issues, ensuring reliability and accuracy.
GCP Data Engineer in City of 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 City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with GCP and data engineering. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Big Query and Tableau. This is your chance to demonstrate your expertise in designing and developing data processing modules. Make it easy for potential employers to see what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've optimised data pipelines or worked with cross-functional teams. Practice common interview questions and scenarios related to data governance and compliance.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team. Let’s get you that dream job!
We think you need these skills to ace GCP Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the GCP Data Engineer role. Highlight your experience with Big Query, data pipelines, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific examples of projects where you've designed or developed data processing modules. If you've worked with Tableau or collaborated with cross-functional teams, let us know! This helps us understand your hands-on experience.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to highlight your key achievements. We appreciate straightforward communication!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Lime Street Recruitment Limited
✨Know Your Tools Inside Out
Make sure you’re well-versed in GCP, BigQuery, and Tableau. Brush up on your knowledge of data processing modules and how they integrate with data pipelines. Being able to discuss specific projects where you've used these tools will show your practical experience.
✨Understand the Business Context
Familiarise yourself with how data impacts business decisions, especially in finance and analytics. Be prepared to discuss how you can leverage new data sources to drive growth and scale for the company. This shows you’re not just a techie but also understand the bigger picture.
✨Collaboration is Key
Since you'll be working closely with various teams, highlight your teamwork skills. Share examples of how you've collaborated with data scientists, engineers, or business teams in the past. This will demonstrate your ability to work cross-functionally and contribute to a cohesive team environment.
✨Prepare for Problem-Solving Questions
Expect questions about troubleshooting data pipeline issues and ensuring data quality. Think of specific challenges you've faced and how you resolved them. This will showcase your analytical skills and your proactive approach to maintaining data integrity.
