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- 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 contribute to cutting-edge data initiatives.
The predicted salary is between 48000 - 72000 £ 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 City of London employer: Gen Re
Contact Detail:
Gen Re Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer, Data & AI Governance in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the data engineering field, especially those working in governance. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies that highlight your experience with data architecture and governance. This will help you stand out when discussing your skills with potential employers.
✨Tip Number 3
Be proactive! Don’t wait for job postings to appear. Reach out directly to companies you admire, like the leading reinsurance company in London. Express your interest in their Data & AI Governance initiatives and see if they have any upcoming opportunities.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application and keep track of your progress. Plus, it shows you’re serious about joining our team and contributing to secure and well-governed data systems.
We think you need these skills to ace Senior Data Engineer, Data & AI Governance in City of London
Some tips for your application 🫡
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 don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data governance and how you can contribute to our initiatives. Keep it engaging and personal – we love a good story!
Showcase Collaboration Skills: Since this role involves working with security and legal teams, make sure to mention any past experiences where you’ve successfully collaborated with different stakeholders. We value teamwork and want to see how you fit into that!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and get to know you better. Don’t miss out on this opportunity!
How to prepare for a job interview at Gen Re
✨Know Your Data Governance Basics
Make sure you brush up on the fundamentals of data governance and architecture. Be ready to discuss how you've implemented these principles in past roles, as well as any frameworks or standards you’re familiar with.
✨Engage with Stakeholders
Since this role involves collaboration with security and legal teams, prepare examples of how you've successfully worked with different stakeholders in the past. Highlight your communication skills and ability to bridge gaps between technical and non-technical teams.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in data compliance and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your analytical thinking.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s data initiatives. Inquire about their current data governance challenges or how they measure success in their data systems. This shows you're genuinely interested and engaged.
