At a Glance
- Tasks: Design and develop data solutions for major global financial projects.
- Company: Leading insurance company in the heart of London.
- Benefits: Full remote flexibility and an excellent benefits package.
- Other info: Collaborative environment with opportunities for career growth.
- Why this job: Shape data architecture and work on high-impact initiatives.
- Qualifications: 4+ years in data engineering with strong SQL skills.
Our client, a market-leading Insurance company based in the City of London, is looking to hire a Senior Data Engineer to support major global financial projects. You’ll work closely with senior engineering leadership, data specialists, and cross-functional stakeholders to deliver high-impact data solutions across the business.
This is a highly collaborative role with the opportunity to shape data architecture, build modern pipelines, and contribute to large-scale migration and regulatory data initiatives. The position offers full remote flexibility and an excellent benefits package.
Key Responsibilities- Partner with engineers across multiple systems to understand data availability, structure, and dependencies
- Design and develop queries, scripts, and transformations to migrate data into new platforms
- Collaborate with solution architects to design migration-day data processes for partner onboarding
- Implement robust data quality checks, validation, and reconciliation processes
- Work closely with platform and infrastructure teams on security, access control, and secrets management
- 4+ years’ experience in data engineering, analytics engineering, or backend engineering with strong ownership of data pipelines
- Proven experience working in stakeholder-heavy, cross-functional environments
- Strong communication skills, able to translate complex technical concepts to non-technical audiences
- Experience delivering financial data projects
- Advanced SQL skills
- Strong understanding of data modelling and data warehousing concepts
- Experience with workflows, code reviews, and CI/CD practices
- Data modelling, ETL development, Big Data
- Python, R, or similar programming languages
- AWS
- SQL & data modelling
- Azure
- Excellent benefits package
- Opportunity to work on global, high-impact financial data projects
- Modern tech stack and strong engineering culture
Please apply for this excellent role with latest CV.
Senior Data Engineer in London employer: Fraser & Co. Talent Partners Limited
As a leading insurance company based in the vibrant City of London, we pride ourselves on fostering a collaborative work culture that empowers our employees to innovate and excel. With full remote flexibility, an excellent benefits package, and opportunities to work on high-impact global financial projects, we are committed to supporting your professional growth and ensuring a rewarding career in data engineering.
Contact Detail:
Fraser & Co. Talent Partners Limited Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role involves data pipelines and SQL, practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 3
Showcase your collaborative spirit! Be ready to share examples of how you've worked with cross-functional teams. Highlighting your communication skills will set you apart in a stakeholder-heavy environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Data Engineer in London
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 pipelines, SQL skills, and any relevant projects you've worked on. We want to see how your background aligns with what we're looking for!
Showcase Your Collaboration Skills:Since this role involves working closely with various teams, emphasise your experience in cross-functional environments. Share examples of how you've successfully collaborated with engineers and stakeholders to deliver impactful data solutions.
Keep It Clear and Concise:When writing your application, clarity is key! Use straightforward language to explain your technical skills and experiences. Remember, we appreciate strong communication skills, so make it easy for us to understand your expertise.
Apply Through Our Website:We encourage you to apply directly through our website. This way, your application will be processed smoothly, and you'll have a better chance of standing out. Don't miss out on this opportunity to join our team!
How to prepare for a job interview at Fraser & Co. Talent Partners Limited
✨Know Your Data Inside Out
Make sure you brush up on your data engineering concepts, especially around data modelling and ETL development. Be ready to discuss your experience with SQL and how you've built and maintained data pipelines in previous roles.
✨Showcase Your Collaboration Skills
Since this role involves working closely with cross-functional teams, prepare examples of how you've successfully collaborated with engineers and stakeholders in the past. Highlight any specific projects where your communication made a difference.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Review common data engineering challenges and be ready to explain how you would approach designing migration processes or implementing data quality checks.
✨Demonstrate Your Problem-Solving Abilities
Think of scenarios where you've faced complex data issues and how you resolved them. Be prepared to walk through your thought process and the tools you used, especially if they relate to AWS or Azure.
