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For Companies At a Glance
- Tasks: Lead a data engineering team and design scalable GCP-based data solutions.
- Company: Join a pioneering insurance tech company transforming the industry with data-driven innovation.
- Benefits: Enjoy up to £130k salary, 25 days leave, and flexible working arrangements.
- Why this job: Make a real impact on smarter risk modelling and customer experiences in a dynamic environment.
- Qualifications: Proven leadership in data engineering and strong hands-on experience with GCP.
- Other info: Opportunity for career growth and continuous improvement in a collaborative setting.
The predicted salary is between 78000 - 130000 £ per year.
KDR have partnered with a business at the forefront of data-driven innovation in the insurance industry, with a clear mission to make insurance smarter through technology and analytics. As Data Engineering Manager, you’ll take ownership of a critical GCP-based data platform, balancing hands-on technical delivery with leadership of a high-performing engineering team. Your work will directly support smarter risk modelling, improved customer experience, and more efficient operational decision-making. Reporting to the Head of Data, you’ll shape technical direction, guide architecture decisions, and mentor engineers while remaining close to the code and core platform.
What you’ll do
- Lead & Deliver: Manage and develop a team of data engineers while contributing hands-on to the design and delivery of scalable, secure data solutions.
- Own Platform Strategy: Define and evolve the data platform architecture to support analytics, BI, and operational use cases across the business.
- Stakeholder Leadership: Partner with actuarial, claims, underwriting, and corporate teams to translate complex requirements into robust technical solutions.
- Champion Automation: Drive a GCP-native medallion architecture using BigQuery for Bronze/Silver/Gold datasets, Dataform for transformations, Cloud Storage for ingestion, and fine-grained IAM controls.
- Integrate & Scale: Oversee ingestion and integration of internal and external data sources, including market feeds and regulatory datasets, using Pub/Sub, Dataflow, and API-based pipelines.
- Enable Better Decisions: Ensure data products directly support pricing strategies, claims processing, service improvements, and commercial outcomes.
- Ensure Reliability: Maintain high standards for availability, performance, security, and cost efficiency across all data solutions.
What you’ll bring
- Proven experience leading data engineering teams in production environments.
- Strong hands-on background across modern data engineering and cloud platforms.
- End-to-end ownership of data platforms, from design through to optimisation.
- Strong experience with:
- Data pipelines, modelling, warehousing, and platform design.
- Google BigQuery, Looker, and GCP-native medallion architectures.
- Building data platforms on Google Cloud Platform (Cloud Storage, Dataflow, Pub/Sub, Dataproc, Dataform, Vertex AI).
- CI/CD, release management, and DevOps practices (Cloud Build, Cloud Deploy).
- Agile delivery and continuous improvement.
25 days annual leave (accrues year by year up to 30 days). Confidential employee assistance programme. Flexible and family-friendly working arrangements.
Please click apply if this role feels like a strong match. Candidates must be based in the UK with full rights to work and have extensive experience within GCP environments.
Data Engineering Manager (GCP) employer: KDR Talent Solutions
Contact Detail:
KDR Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager (GCP)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with GCP. A friendly chat can lead to insider info about job openings or even referrals that could give you a leg up.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your hands-on projects, especially those involving data pipelines and GCP. This will not only impress potential employers but also give you confidence during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your responses. Focus on articulating your experience with data platforms and how you've led teams to success.
✨Tip Number 4
Apply through our website! We’ve got a streamlined process that makes it easy for you to showcase your fit for the Data Engineering Manager role. Plus, it shows you’re serious about joining our mission to make insurance smarter!
We think you need these skills to ace Data Engineering Manager (GCP)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Engineering Manager role. Highlight your hands-on experience with GCP and data engineering, as well as any leadership roles you've held.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data-driven innovation in the insurance industry. Share specific examples of how you've led teams and delivered successful data solutions in the past.
Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise! Mention your experience with Google BigQuery, Dataform, and other relevant tools. We want to see how you’ve used these technologies to solve real-world problems.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at KDR Talent Solutions
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge. Be ready to discuss specific tools like BigQuery, Dataflow, and Pub/Sub. Show them you can not only talk the talk but also walk the walk when it comes to building and optimising data platforms.
✨Showcase Your Leadership Skills
As a Data Engineering Manager, you'll need to lead a team effectively. Prepare examples of how you've managed teams in the past, focusing on mentoring and developing talent. Highlight your experience in balancing hands-on technical work with leadership responsibilities.
✨Understand the Business Impact
This role is all about making insurance smarter through data. Familiarise yourself with how data engineering can improve risk modelling and customer experience. Be ready to discuss how your previous projects have led to better decision-making and operational efficiency.
✨Prepare for Technical Challenges
Expect some technical questions or challenges during the interview. Practice explaining your thought process when designing data pipelines or solving complex problems. This will demonstrate your strategic mindset and problem-solving abilities, which are crucial for this role.
