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- Tasks: Design and build robust data pipelines using Python and AWS for a greenfield data platform.
- Company: Join a leading insurance firm with a focus on innovation and collaboration.
- Benefits: Competitive salary up to £80,000, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact by working on critical financial data in a dynamic environment.
- Qualifications: 5+ years of experience in data engineering or software engineering with a strong data focus.
- Other info: Ideal for those who thrive in early-stage builds and enjoy close stakeholder collaboration.
The predicted salary is between 48000 - 80000 £ per year.
A leading insurance firm is seeking a Data Engineer to join a newly formed Data squad responsible for building a greenfield data platform. This Data Engineer will work closely with internal Accounting and Finance stakeholders, supporting business-critical reporting and regulated financial processes.
As a Data Engineer, you will take ownership of designing and building data pipelines from scratch, working primarily with Python and AWS. This is a true 01 initiative, where the Data Engineer will help define architecture, data standards, and engineering best practices within a growing data function.
This role is ideal for a Data Engineer who enjoys early-stage build work, close stakeholder collaboration, and working with complex financial datasets in a regulated environment.
Salary: Up to £80,000
Location: London
Data Engineer Responsibilities:
- Design, build, and maintain robust data pipelines from the ground up
- Develop and optimise ETL workflows using Python and AWS
- Work closely with Accounting and Finance teams on month-end, IBNR, and financial reporting data
- Ensure data quality, accuracy, and reliability across critical reporting pipelines
- Contribute to CI/CD practices and infrastructure-as-code for data platforms
Data Engineer Requirements:
- 5+ years experience working as a Data Engineer (or in a software engineering role with a strong data focus)
- Experience working with insurance, accounting, or financial data, including month-end or IBNR reporting
- Proven experience designing and building data pipelines from scratch
- Strong commercial experience with Python
- Strong commercial experience with AWS (ideally Glue, Lambda, and Step Functions)
- Familiarity with CI/CD for data pipelines (e.g. Terraform, CodeBuild, Flyway, or similar tools)
Data Engineer - Python, AWS (Glue / Lambda) in City of London employer: Wilson Brown Limited
Contact Detail:
Wilson Brown Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Python, AWS (Glue / Lambda) in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in data engineering or finance. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines and projects. This is your chance to demonstrate your expertise in Python and AWS, so make it shine when you get the opportunity to discuss your work.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled challenges in previous roles, especially around financial datasets and reporting processes. We want to see your problem-solving skills in action!
✨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 are proactive about their job search. Let's get you into that Data Engineer role!
We think you need these skills to ace Data Engineer - Python, AWS (Glue / Lambda) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and AWS, especially Glue and Lambda. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this Data Engineer role. Share your passion for building data pipelines and working with financial datasets, and let us know how you can contribute to our new data squad.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex data challenges. We love seeing how you approach problems, especially in a regulated environment like accounting or insurance.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Wilson Brown Limited
✨Know Your Tech Inside Out
Make sure you brush up on your Python and AWS skills, especially Glue and Lambda. Be ready to discuss specific projects where you've designed and built data pipelines, as well as any challenges you faced and how you overcame them.
✨Understand the Business Context
Since this role involves working closely with Accounting and Finance teams, it’s crucial to understand their processes. Familiarise yourself with month-end reporting and IBNR concepts so you can speak knowledgeably about how your work will impact their operations.
✨Showcase Your Collaboration Skills
This position requires close collaboration with stakeholders. Prepare examples of how you've successfully worked with cross-functional teams in the past, particularly in a regulated environment. Highlight your communication skills and how you ensure everyone is on the same page.
✨Be Ready for Technical Challenges
Expect some technical questions or even a coding challenge during the interview. Practice common data engineering problems and be prepared to explain your thought process. This will demonstrate your problem-solving abilities and your approach to building robust data solutions.
