At a Glance
- Tasks: Design and implement secure data solutions in GCP, focusing on RBAC and data security.
- Company: Leading organisation with a focus on innovative data platforms.
- Benefits: Competitive daily rate, hybrid work model, and opportunity to shape technical standards.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact on data security and governance.
- Qualifications: Experience with GCP, BigQuery, Python, and strong knowledge of data security.
The predicted salary is between 63000 - 77000 £ per year.
A leading organisation is looking for a Senior Data Engineer to join its Data Platform team, working across a major programme focused on role-based access control (RBAC), data security and governance within GCP. You'll work closely with architects, engineers, product and governance teams to design and implement secure, scalable data solutions, while helping shape technical standards across the wider data platform.
THE ROLE
- Designing and implementing RBAC and data security solutions across GCP
- Developing and improving access controls across BigQuery and cloud data environments
- Supporting IAM/IDAM enhancements, service-account access and access reporting
- Designing and implementing data classification and governance-by-design
- Maintaining and improving a GCP/BigQuery lakehouse environment
- Building and supporting pipelines using Python, Airflow/Cloud Composer and dbt
- Identifying security vulnerabilities and supporting remediation
- Implementing robust CI/CD, testing and Terraform-based infrastructure
- Working across integrations including Fivetran, Tableau and Alation
The key deliverables include access enhancement, data-classification architecture, BigQuery/Tableau integration and vulnerability remediation.
YOUR SKILLS AND EXPERIENCE
- Strong commercial experience with GCP and BigQuery
- Deep knowledge of RBAC / IAM within cloud data environments
- Strong understanding of data security, governance and access controls
- Hands-on experience with Python, Airflow and dbt
- Experience with Terraform and CI/CD
- Knowledge of Kubernetes
- Exposure to AWS alongside GCP
- Strong stakeholder management and the ability to work with architects, analytics engineers and software engineers
HOW TO APPLY Please register your interest by sending your CV via the Apply link on this page.
GCP Data Engineer (Contract) in London employer: Harnham - Data & Analytics Recruitment Careers
As a leading consumer retail organisation based in London, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and the opportunity to lead transformative digital initiatives, all while enjoying a competitive salary and bonus structure. Join us to be part of a forward-thinking team that values your contributions and empowers you to drive meaningful change in a rapidly evolving market.
Contact Details:
Harnham - Data & Analytics Recruitment Careers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land GCP Data Engineer (Contract) in London
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We think you need these skills to ace GCP Data Engineer (Contract) in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Harnham - Data & Analytics Recruitment Careers, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
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Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Harnham - Data & Analytics Recruitment Careers, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
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How to prepare for a job interview at Harnham - Data & Analytics Recruitment Careers
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For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Harnham - Data & Analytics Recruitment Careers.
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You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
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Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Harnham - Data & Analytics Recruitment Careers.
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