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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 focused on innovation and impactful solutions.
The predicted salary is between 36000 - 60000 £ per year.
You’ll 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’ll 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’ll work with:
- BigQuery
- Cloud Functions
- Dataflow
- Analytics Hub
- Looker Studio
- APIs & Python
What we’re 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 City of 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 City of 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 lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving GCP. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with BigQuery, Dataflow, and APIs. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented data engineers like you. Plus, it’s a great way to ensure your application gets noticed!
We think you need these skills to ace Data Engineer- Google Cloud Platform Specialist in City of 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 your skills align with the role, so don’t be shy about showcasing your expertise in building and optimising data pipelines!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and cloud technology. Share specific examples of how you've solved problems in previous roles, especially those related to data and marketing tech.
Showcase Your Technical Skills: Don’t forget to mention your experience with tools like BigQuery, Dataflow, and Looker Studio. We love seeing candidates who are hands-on with APIs and Python, so make sure these skills are front and centre in your application!
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 we can’t wait to see what you bring to the table!
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 data engineering contexts. Think about challenges you've faced while building or optimising data pipelines and how you overcame them. This will demonstrate your cloud-first mindset.
✨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've successfully integrated different systems or data sources.
✨Emphasise Your AI Experience
If you have any experience with AI, make sure to bring it up during the interview. Discuss how you've applied AI techniques in data analytics or marketing tech, as this could set you apart from other candidates.
