Cloud Engineer - GCP Cloud Data Engineer in London

Cloud Engineer - GCP Cloud Data Engineer in London

London Full-Time 36000 - 60000 € / year (est.) No home office possible
Response Informatics

At a Glance

  • Tasks: Manage data flow and ensure accuracy in our data warehouse and reporting platforms.
  • Company: Join a forward-thinking company focused on data-driven solutions.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic work environment with a focus on innovation and collaboration.
  • Why this job: Make an impact by leading strategic projects and empowering users with reliable data.
  • Qualifications: Certified GCP Data Engineer with expertise in data management and team leadership.

The predicted salary is between 36000 - 60000 € per year.

What you’ll be doing

  • Managing data into and out of our data warehouse and reporting platforms to ensure accuracy and efficiency.
  • Definition and quality of KPIs that support effective contact centre operations.
  • Delivering data development roadmaps aligned to either our Consumer or Enterprise business strategies.
  • Empowering end users with access to reliable, well-governed data sets in a secure environment.
  • Troubleshooting complex data issues across multiple source systems and ensuring smooth data operations.
  • Leading strategic, cross-functional projects to deliver impactful, data-driven solutions, while documenting processes for team-wide support.

What skills you’ll need

  • Certified Google Cloud (GCP) Data Engineer with strong expertise in data acquisition, modelling, ETL, and data warehousing.
  • Proficient in Terraform, YAML, and GitLab for environment management.
  • Skilled in MS SQL, GCP SQL, and Oracle DB design, with a focus on data quality and governance.
  • Strong understanding of contact centre metrics and systems (e.g. WFM, IVR, Call Routing).
  • Proven ability to lead technical teams and deliver end-to-end technology solutions in operational environments.
  • Experienced in using JIRA and Confluence for agile project tracking and documentation.

Cloud Engineer - GCP Cloud Data Engineer in London employer: Response Informatics

As a Cloud Engineer at our innovative company, you will thrive in a dynamic work culture that prioritises collaboration and continuous learning. We offer competitive benefits, including professional development opportunities and a supportive environment that empowers you to lead impactful data-driven projects. Located in a vibrant area, our team enjoys a healthy work-life balance while contributing to cutting-edge solutions in the cloud data space.

Response Informatics

Contact Detail:

Response Informatics Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Cloud Engineer - GCP Cloud Data Engineer in London

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can sometimes lead to insider info or even a referral!

Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to data engineering and GCP. This gives potential employers a taste of what you can do beyond just words on a CV.

Tip Number 3

Prepare for interviews by brushing up on common data engineering scenarios. Think about how you'd troubleshoot complex data issues or lead a project. Practising these responses can really set you apart!

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 are proactive about their job search!

We think you need these skills to ace Cloud Engineer - GCP Cloud Data Engineer in London

Google Cloud Platform (GCP)
Data Acquisition
Data Modelling
ETL
Data Warehousing
Terraform
YAML

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Cloud Engineer role. Highlight your experience with GCP, data warehousing, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!

Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples of how you've used Terraform, YAML, or GitLab in past roles. This helps us understand your hands-on experience and how you can contribute to our team.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data engineering and why you're excited about working with us at StudySmarter. Make it personal and let your personality come through!

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’s super easy – just follow the prompts!

How to prepare for a job interview at Response Informatics

Know Your Data Inside Out

As a Cloud Engineer focusing on GCP, it's crucial to have a solid grasp of data management principles. Brush up on your knowledge of data warehousing, ETL processes, and the specific tools mentioned in the job description like Terraform and GitLab. Be ready to discuss how you've applied these skills in past projects.

Showcase Your Problem-Solving Skills

Expect questions about troubleshooting complex data issues. Prepare examples from your experience where you successfully identified and resolved data problems. Highlight your analytical thinking and how you ensured smooth data operations in challenging situations.

Demonstrate Leadership Experience

Since the role involves leading technical teams, be prepared to share instances where you've taken charge of projects. Discuss how you managed cross-functional teams and delivered impactful, data-driven solutions. This will show your potential employer that you can lead effectively.

Familiarise Yourself with Contact Centre Metrics

Understanding contact centre metrics is key for this role. Research common KPIs and systems like WFM and IVR. Be ready to discuss how these metrics influence data strategies and how you've used them in your previous roles to drive performance improvements.