Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our team to design and optimise cloud-based data infrastructure on GCP.
- Company: Be part of a dynamic company leading in cloud data solutions.
- Benefits: Enjoy hybrid work options and the chance to work with cutting-edge technology.
- Why this job: This role offers impactful projects and collaboration with talented professionals.
- Qualifications: 5+ years in data engineering, with strong GCP and SQL skills required.
- Other info: Immediate start available; rights to work in the UK are essential.
The predicted salary is between 43200 - 72000 £ per year.
We are seeking a GCP Data Engineer to join our client’s dynamic team and help us architect and optimize our cloud-based data infrastructure.
Key skills:
- 5+ years of experience in data engineering, with at least 1–2 years hands-on with Google Cloud Platform.
- Strong experience with BigQuery, Cloud Storage, Pub/Sub, and Dataflow.
- Proficient in SQL, Python, and Apache Beam.
- Familiarity with DevOps and CI/CD pipelines in cloud environments.
- Experience with Terraform, Cloud Build, or similar tools for infrastructure automation.
- Understanding of data warehousing concepts and architecture.
- Consulting background is a plus.
- Strong communication skills (oral & written).
- Rights to work in the UK is a must (No Sponsorship available).
Responsibilities:
- Design, build, and maintain scalable and reliable data pipelines on Google Cloud Platform (GCP).
- Develop ETL processes using tools like Cloud Dataflow, Apache Beam, BigQuery, and Cloud Composer.
- Collaborate with data analysts, scientists, and business stakeholders to understand data requirements.
- Optimize performance and cost-efficiency of GCP data services.
- Implement data quality, monitoring, and governance practices.
- Ensure security and compliance best practices in data handling.
- Automate infrastructure deployment using Infrastructure as Code tools such as Terraform.
Should you be interested in being considered for this position and would like to discuss further, please apply with your latest CV or share your CV directly with me at christophe.ramen@focusonsap.org.
Senior GCP Data Engineer employer: Focus Cloud Group
Contact Detail:
Focus Cloud Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior GCP Data Engineer
✨Tip Number 1
Make sure to showcase your hands-on experience with Google Cloud Platform in your conversations. Highlight specific projects where you've used BigQuery, Cloud Storage, or Dataflow, as this will demonstrate your practical knowledge and expertise.
✨Tip Number 2
Brush up on your SQL and Python skills before any interviews. Be prepared to discuss how you've used these languages in data engineering tasks, as well as any challenges you've faced and how you overcame them.
✨Tip Number 3
Familiarise yourself with DevOps practices and CI/CD pipelines, especially in the context of cloud environments. Being able to discuss how you've implemented these processes in previous roles can set you apart from other candidates.
✨Tip Number 4
Network with professionals in the data engineering field, particularly those who have experience with GCP. Engaging in discussions about industry trends and best practices can provide valuable insights and potentially lead to referrals.
We think you need these skills to ace Senior GCP Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Google Cloud Platform, especially your hands-on work with BigQuery, Cloud Storage, and Dataflow. Use specific examples to demonstrate your skills in SQL, Python, and Apache Beam.
Craft a Strong Cover Letter: Write a cover letter that showcases your understanding of data engineering and your ability to design and maintain scalable data pipelines. Mention your familiarity with DevOps practices and any consulting experience you have.
Highlight Relevant Projects: In your application, include details about specific projects where you've implemented ETL processes or automated infrastructure deployment using tools like Terraform. This will show your practical experience and problem-solving skills.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. Ensure that your communication skills shine through, as strong written communication is essential for this role.
How to prepare for a job interview at Focus Cloud Group
✨Showcase Your GCP Expertise
Make sure to highlight your hands-on experience with Google Cloud Platform during the interview. Be prepared to discuss specific projects where you've used BigQuery, Cloud Storage, and Dataflow, as well as any challenges you faced and how you overcame them.
✨Demonstrate Your Technical Skills
Since the role requires proficiency in SQL, Python, and Apache Beam, be ready to provide examples of how you've applied these skills in real-world scenarios. You might even want to brush up on some coding exercises or data engineering problems to showcase your abilities.
✨Understand Data Warehousing Concepts
Familiarise yourself with data warehousing concepts and architecture, as this knowledge will be crucial for the role. Be prepared to discuss how you have implemented data warehousing solutions in the past and how they can benefit the organisation.
✨Communicate Effectively
Strong communication skills are essential for this position. Practice articulating your thoughts clearly and concisely, especially when discussing technical topics. Remember, you'll need to collaborate with various stakeholders, so being able to convey complex ideas simply is key.
