At a Glance
- Tasks: Design and maintain secure data systems while ensuring compliance with governance standards.
- Company: Join a leading reinsurance company with a global presence and strong financial ratings.
- Benefits: Competitive salary, professional development, and opportunities for career advancement.
- Other info: Collaborate with diverse teams and gain hands-on experience in data management.
- Why this job: Make a real impact on data governance and privacy in a dynamic environment.
- Qualifications: Strong foundation in data engineering and interest in governance and compliance.
The predicted salary is between 60000 - 80000 £ per year.
Gen Re – City Of London, England, United Kingdom
General Re Corporation, a subsidiary of Berkshire Hathaway Inc., is a holding company for global reinsurance and related operations, with more than 2,000 employees worldwide. It owns General Reinsurance Corporation and General Reinsurance AG, which conducts business as Gen Re. Gen Re delivers reinsurance solutions to the Life/Health and Property/Casualty insurance industries. Represented in all major reinsurance markets through a network of 37 offices, we have earned superior financial strength ratings from each of the major rating agencies.
Main Purpose of the Role
We are seeking a detail‑oriented senior data engineer to support the implementation of our Data and AI Governance initiatives that reports into the Enterprise Data and AI Services (EDAS) team. This role will play a key part in supporting the team of governance processes, audits, managing risks and ensuring data privacy in close collaboration with the Security, Legal and Privacy teams. The post holder will also contribute to the Implementation, integration, development and maintenance of relevant governance, MDM and lineage tools. The ideal candidate will have a strong foundation in data engineering and report configurations in a modern landscape and a keen interest in expanding their expertise in governance, audit, and privacy. This role offers the opportunity to gain hands‑on experience in applying policies, standards, and guidelines to ensure effective and compliant data and AI practices.
Key Responsibilities
As a Senior Data Engineer on the Governance Team, you will play a critical role in designing, implementing, and maintaining secure, compliant, and well‑governed data systems. You’ll collaborate across technical and non‑technical teams to ensure data is managed responsibly throughout its lifecycle, aligned with regulatory standards and organizational policies.
Qualifications
Senior Data Engineer - Data and AI Governance employer: Gen Re
Contact Detail:
Gen Re Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Data and AI Governance
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data governance and engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills through projects or contributions to open-source initiatives. This not only demonstrates your expertise but also gives you something tangible to discuss during interviews.
✨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 genuinely interested in joining our team.
We think you need these skills to ace Senior Data Engineer - Data and AI Governance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data governance, audits, and compliance, as these are key for us at Gen Re. Use specific examples that showcase your skills in data engineering and how they relate to the job.
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 your background makes you a perfect fit for our team. Keep it concise but engaging, and don’t forget to mention your interest in working with us at Gen Re.
Showcase Relevant Projects: If you've worked on projects related to data governance or AI, make sure to include them in your application. We love seeing real-world applications of your skills, so share any relevant tools or methodologies you've used that align with our needs.
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 shows us you’re keen on joining our team at Gen Re!
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, privacy, and compliance. Be ready to discuss how these concepts apply to real-world scenarios, especially in relation to the insurance industry. This will show that you understand the importance of these areas in your role.
✨Showcase Your Technical Skills
Prepare to talk about your experience with data engineering tools and technologies. Bring examples of projects where you've implemented governance processes or worked with MDM and lineage tools. Being able to demonstrate your technical expertise will set you apart from other candidates.
✨Collaboration is Key
Since this role involves working closely with various teams, be ready to share examples of how you've successfully collaborated with both technical and non-technical stakeholders. Highlight your communication skills and how you ensure everyone is on the same page when it comes to data management.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data governance initiatives and how they align with their overall strategy. This shows your genuine interest in the role and helps you gauge if the company’s values align with yours. Plus, it gives you a chance to engage in a meaningful conversation during the interview.