At a Glance
- Tasks: Support Data and AI Governance initiatives by designing secure data systems.
- Company: Leading reinsurance company in London with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact on data governance while collaborating with diverse teams.
- Qualifications: Expertise in data architecture and governance, plus strong collaboration skills.
- Other info: Join a dynamic team and help shape the future of data compliance.
The predicted salary is between 48000 - 72000 Β£ per year.
A leading reinsurance company in London is seeking a Senior Data Engineer to support Data and AI Governance initiatives. The ideal candidate will have expertise in data architecture and governance, and collaborate with security and legal teams to ensure data compliance.
This role offers the opportunity to contribute to the design and implementation of secure and well-governed data systems, while engaging with various stakeholders.
Closing date for applications is December 15, 2025.
Senior Data Engineer, Data & AI Governance in London employer: Gen Re
Contact Detail:
Gen Re Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior Data Engineer, Data & AI Governance in London
β¨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in data governance. A friendly chat can open doors and give you insights that might just land you that Senior Data Engineer role.
β¨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your expertise in data architecture and governance. When you get the chance to chat with potential employers, let your work speak for itself.
β¨Tip Number 3
Be proactive! Donβt wait for job postings to pop up. Reach out directly to companies you admire, like the leading reinsurance company in London. Express your interest in their data initiatives and see if they have any upcoming opportunities.
β¨Tip Number 4
Apply through our website! We make it super easy for you to submit your application. Plus, it shows you're serious about joining our team and helps us keep track of your application better.
We think you need these skills to ace Senior Data Engineer, Data & AI Governance in London
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your experience in data architecture and governance. We want to see how your skills align with the role, so donβt be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youβre passionate about data governance and how you can contribute to our initiatives. Keep it engaging and personal β we love to see your personality!
Showcase Collaboration Skills: Since this role involves working with security and legal teams, make sure to mention any past experiences where youβve successfully collaborated with different stakeholders. We value teamwork and want to know how you can bring that to our company!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. Itβs the best way for us to receive your application and ensures you donβt miss out on any important updates!
How to prepare for a job interview at Gen Re
β¨Know Your Data Governance Basics
Make sure you brush up on your data governance principles and frameworks. Be ready to discuss how you've implemented these in past roles, especially in relation to compliance and security. This will show that you understand the importance of data integrity and can contribute effectively.
β¨Showcase Your Collaboration Skills
Since this role involves working with security and legal teams, prepare examples of how you've successfully collaborated with different stakeholders in previous projects. Highlight your communication skills and how you navigate complex discussions to achieve a common goal.
β¨Prepare for Technical Questions
Expect technical questions related to data architecture and engineering. Brush up on relevant tools and technologies, and be ready to explain your thought process when designing secure data systems. Practising coding challenges or system design scenarios can also be beneficial.
β¨Ask Insightful Questions
At the end of the interview, donβt forget to ask questions that demonstrate your interest in the companyβs data initiatives. Inquire about their current data governance challenges or how they measure success in their data projects. This shows that you're not just interested in the role, but also in contributing to their mission.