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For Companies At a Glance
- 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 AI-driven analytics and make a real impact.
- Qualifications: Experience in GCP data engineering and building data pipelines.
- Other info: Dynamic environment with a focus on innovation and collaboration.
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 Slough 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 Slough
✨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 technical interviews by brushing up on your knowledge of BigQuery, Dataflow, and APIs. Practise common data engineering problems and be ready to discuss your problem-solving approach.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Engineer- Google Cloud Platform Specialist in Slough
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, so don’t hold back!
Showcase Your Skills: In your cover letter, mention specific tools and technologies you’ve used, like BigQuery or Dataflow. We love seeing candidates who can demonstrate their hands-on experience with the tech we work with.
Problem-Solving Examples: We’re looking for problem-solvers! Include examples in your application where you’ve tackled challenges in data engineering or cloud solutions. 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. 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 Hands-On with AI and Analytics
If you have experience with AI, make sure to bring it up! Discuss any projects where you've integrated AI into data solutions. Also, be prepared to talk about how you can leverage analytics to drive business value for brands.
✨Practice Your Technical Communication
Since you'll be working with a forward-thinking team, it's crucial to communicate complex technical concepts clearly. Practice explaining your past projects and technical decisions in a way that's easy to understand, even for those who might not have a technical background.
