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- Tasks: Build scalable data platforms and analytics solutions on Google Cloud.
- Company: Join a forward-thinking team at the forefront of AI and cloud technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of data-driven marketing with cutting-edge tools and technologies.
- Qualifications: Experience in GCP data engineering and building optimised data pipelines.
- Other info: Dynamic environment with a focus on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
You will be part of a forward-thinking team building scalable data platforms, automation, and analytics solutions across Google Cloud and Google Marketing Platforms.
Working between AI, data, and marketing technology, you will help transform enterprise data into high-impact, privacy-first solutions that drive measurable business value for leading brands.
Shape the future of cloud-powered, AI-driven analytics with a team operating at the cutting edge of data and marketing tech.
You will work with:
- BigQuery
- Cloud Functions
- Dataflow
- Analytics Hub
- Looker Studio
- APIs & Python
What we are looking for:
- Strong GCP data engineering experience
- Building & optimising data pipelines / ETL
- API & connector integrations
- Problem-solver, cloud-first mindset
- AI Experience (Preferred)
- Google Cloud Professional Data Engineer (preferred)
Data Engineer- Google Cloud Platform Specialist in London employer: Moriati Digital Recruitment
Contact Detail:
Moriati Digital Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer- Google Cloud Platform Specialist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Google Cloud. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving GCP. This is your chance to demonstrate your expertise in building and optimising data pipelines.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle real-world scenarios related to AI and cloud tech. We want to see how you think on your feet!
✨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 to connect with us directly.
We think you need these skills to ace Data Engineer- Google Cloud Platform Specialist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your GCP data engineering experience and any relevant projects you've worked on. We want to see how you've built and optimised data pipelines or tackled API integrations, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about AI and cloud technology, and how you can contribute to our team. Be specific about your skills with tools like BigQuery and Dataflow.
Showcase Problem-Solving Skills: We love problem-solvers! In your application, share examples of challenges you've faced in data engineering and how you overcame them. This will help us see your cloud-first mindset in action.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our forward-thinking team!
How to prepare for a job interview at Moriati Digital Recruitment
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge. Familiarise yourself with BigQuery, Dataflow, and Cloud Functions, as these are key components of the role. Be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your problem-solving abilities, especially in a cloud-first environment. Think about challenges you've faced while building or optimising data pipelines and how you overcame them. This will demonstrate your critical thinking and adaptability.
✨Get Comfortable with APIs and Integrations
Since API and connector integrations are crucial for this role, be prepared to talk about your experience with them. Have specific examples ready where you successfully integrated different systems or data sources, and explain the impact it had on the project.
✨Emphasise Your AI Experience
If you have any experience with AI, make sure to highlight it during the interview. Discuss how you've leveraged AI in data engineering projects and how it can enhance analytics solutions. This will show that you're not just a data engineer but also someone who understands the future of technology.
