Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Own and enhance data flows, ensuring quality and accessibility for analytics.
- Company: Join a leading player in the reinsurance sector, driving data solutions forward.
- Benefits: Enjoy a competitive salary, bonus, and hybrid work options.
- Why this job: Be part of strategic projects that impact business decisions and collaborate with diverse teams.
- Qualifications: 5+ years in data pipeline development; strong SQL skills and analytical mindset required.
- Other info: Experience in reinsurance is a plus, but not essential; cloud platform exposure is beneficial.
The predicted salary is between 48000 - 64000 £ per year.
Job Description
- Take ownership of a central data integration tool and lead its ongoing development and optimisation.
- Finalise and improve data pipelines to deliver clean, structured datasets across business functions.
- Design and apply monitoring processes to maintain data quality and integrity.
- Produce clear and well-documented code and data flows to support transparency and future maintenance.
- Carry out peer reviews to uphold high technical standards.
- Work closely with users across the organisation to troubleshoot and resolve data issues.
- Design, test, and document solutions in line with established development practices.
- Manage workload independently, ensuring delivery of both project work and BAU tasks.
- Create controls and reporting mechanisms to prevent repeat data issues.
- Support the migration and integration of local data processes into group-wide cloud platforms.
- Estimate time, cost and resource needs for change requests and project plans.
- Comply with internal governance and group-level standards.
- Assist with broader data and technical initiatives as required.
Experience Required:
- 5+ years' demonstrable experience in developing and managing data pipelines in a business-critical environment.
- Strong background in specifying, cleansing, and correcting complex data sets.
- Full-cycle experience in delivering and maintaining data provisioning systems.
- Familiarity with data warehousing principles.
- Collaborative working style with experience in cross-functional settings.
- Experience within reinsurance or insurance is desirable, but not essential.
- Exposure to cloud platforms such as Microsoft Azure is a bonus.
Key Skills:
- Advanced SQL development skills.
- Highly analytical with excellent attention to detail.
- Quick to learn new technologies and adapt to evolving systems.
- Strong problem-solving mindset.
- Confident communicator with both technical and non-technical stakeholders.
- Able to work independently and take initiative.
- Strong relationship-building and interpersonal skills.
Data Engineer Reinsurance City of London, Hybrid employer: IPS Group
Contact Detail:
IPS Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer Reinsurance City of London, Hybrid
✨Tip Number 1
Familiarise yourself with the specific data integration tools and cloud platforms mentioned in the job description, such as Microsoft Azure. Having hands-on experience or relevant projects to discuss can really set you apart during conversations.
✨Tip Number 2
Brush up on your SQL skills and be prepared to demonstrate your ability to write complex queries. You might even want to practice solving data-related problems or case studies that showcase your analytical skills.
✨Tip Number 3
Network with professionals in the reinsurance sector or attend industry events. Building connections can provide insights into the company culture and may even lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 4
Prepare to discuss your experience in maintaining data quality and integrity. Think of specific examples where you've successfully resolved data issues or improved data processes, as these will resonate well with the hiring team.
We think you need these skills to ace Data Engineer Reinsurance City of London, Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly focusing on your skills in developing and managing data pipelines. Use specific examples that demonstrate your ability to maintain data quality and integrate systems.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your experience with data warehousing principles and any familiarity with cloud platforms like Microsoft Azure. Show how your background aligns with the responsibilities outlined in the job description.
Highlight Technical Skills: Clearly list your technical skills, especially your advanced SQL development capabilities. Provide examples of how you've used these skills in previous roles to solve problems or improve data processes.
Showcase Collaboration Experience: Since the role involves working closely with stakeholders, include examples of your collaborative work style. Highlight any experience you have in cross-functional settings and how you’ve effectively communicated with both technical and non-technical team members.
How to prepare for a job interview at IPS Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL and data pipelines in detail. Bring examples of past projects where you successfully developed and managed data flows, as this will demonstrate your technical expertise and problem-solving abilities.
✨Understand the Reinsurance Sector
Even if you don't have direct experience in reinsurance, take some time to research the industry. Understanding key concepts and challenges in reinsurance will help you engage more effectively with interviewers and show your genuine interest in the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess how you would handle specific data-related challenges. Think about past experiences where you resolved data issues or improved data quality, and be ready to explain your thought process and the outcomes.
✨Demonstrate Collaboration Skills
Since the role involves working closely with various stakeholders, be ready to discuss how you've successfully collaborated in cross-functional teams. Highlight instances where your communication skills helped bridge gaps between technical and non-technical team members.
