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- Tasks: Design scalable cloud data platforms and optimise enterprise data workloads on GCP.
- Company: Leading IT services company with a focus on innovation and collaboration.
- Benefits: Competitive daily rate, bonus, pension, and remote work flexibility.
- Other info: Exciting contract role with opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of cloud data architecture.
- Qualifications: Strong experience with GCP tools and data modelling skills required.
The predicted salary is between 71000 - 85000 £ per year.
Looking for a GCP Data Architect with strong technical expertise in designing scalable cloud data platforms. Responsible for architecture, data modelling, migration, and optimisation of enterprise data workloads on GCP.
Key Skills
- Hands-on experience with BigQuery, Dataflow, Dataproc, Composer
- Strong SQL, ETL/ELT design, and data modelling (conceptual/logical/physical)
- Experience with GCS, Pub/Sub, IAM, VPC, and security best practices
- Migration of on-prem workloads to GCP
- Building real-time pipelines and designing end-to-end data architectures
Seniority level: Mid-Senior level
Employment type: Contract
Job function: Information Technology
Industry: IT Services and IT Consulting
Location: London, England, United Kingdom
Salary: £71k to £85k + 10% Bonus & 20% Pension
GCP Data Architect(Contract) Location: UK – Remote Rate: £400/day | Outside IR35 in London employer: 9NEXUS
Contact Detail:
9NEXUS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GCP Data Architect(Contract) Location: UK – Remote Rate: £400/day | Outside IR35 in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with GCP. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to GCP, BigQuery, and data architecture. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common GCP scenarios. Think about how you would handle data migration or optimise workloads. We want you to be ready to impress with your hands-on experience!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace GCP Data Architect(Contract) Location: UK – Remote Rate: £400/day | Outside IR35 in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with GCP and the specific tools mentioned in the job description. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the GCP Data Architect role. Share your passion for cloud data platforms and how your past experiences have prepared you for this opportunity with us.
Showcase Your Technical Skills: Since this role requires strong technical expertise, make sure to include specific examples of your work with BigQuery, Dataflow, and other relevant technologies. We love seeing real-world applications of your skills, so don’t hold back!
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 makes the process smoother for both you and us!
How to prepare for a job interview at 9NEXUS
✨Know Your GCP Inside Out
Make sure you’re well-versed in Google Cloud Platform, especially BigQuery, Dataflow, and Dataproc. Brush up on your knowledge of GCS, Pub/Sub, and IAM as well. Being able to discuss these tools confidently will show that you’re the right fit for the role.
✨Showcase Your Data Modelling Skills
Prepare to talk about your experience with data modelling, including conceptual, logical, and physical models. Have examples ready that demonstrate how you've designed scalable data architectures and optimised enterprise workloads in the past.
✨Discuss Migration Strategies
Be ready to explain your approach to migrating on-prem workloads to GCP. Share specific challenges you faced and how you overcame them. This will highlight your problem-solving skills and technical expertise.
✨Real-Time Pipelines Are Key
Since building real-time pipelines is crucial for this role, come prepared with examples of projects where you’ve designed end-to-end data architectures. Discuss the technologies you used and the impact your work had on the business.