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For Companies At a Glance
- Tasks: Build and maintain scalable data pipelines using Python and SQL.
- Company: Dynamic insurance business in the heart of London.
- Benefits: Up to £64,000 salary, bonus, and hybrid working options.
- Why this job: Make a real impact by shaping data solutions for key business functions.
- Qualifications: Experience with Python, SQL, and Azure; strong data engineering background.
- Other info: Join a collaborative team with opportunities for growth and technical ownership.
The predicted salary is between 46000 - 76000 £ per year.
A growing insurance business in the City is looking for a Senior Analytics Engineer to join their actuarial function. This role will focus on building the data foundations that support pricing, reserving and risk modelling across the business.
You’ll be responsible for developing and maintaining production-ready data pipelines, shaping and refining their Azure cloud environment, and ensuring data is delivered reliably and efficiently to actuarial teams. The work is varied, hands-on, and central to the way the business uses data.
What you’ll be doing:
- Building and maintaining scalable data pipelines in Python and SQL
- Developing and improving Azure-based data infrastructure
- Enhancing CI/CD pipelines and supporting DevOps practices
- Automating processes and creating reusable cloud components
- Working closely with actuarial stakeholders to translate requirements into robust data solutions
- Supporting junior engineers and contributing to engineering standards
What you’ll need:
- Strong experience with Python, SQL, and the Azure ecosystem
- Background in data engineering, analytics engineering or similar
- Experience working with CI/CD pipelines and cloud-based delivery
- Ability to build clean, efficient, scalable data solutions
- Comfortable working with technical and non-technical stakeholders
What’s on offer:
- Salary up to £64,000
- Bonus + competitive benefits
- Hybrid working – 2 days from home
- A role with meaningful technical ownership and variety
If you’re interested in finding out more, please apply or get in touch for a conversation.
Senior Data Engineer in City of London employer: Morson Edge (Financial Services)
Contact Detail:
Morson Edge (Financial Services) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer 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 analytics. 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 projects, especially those involving Python, SQL, and Azure. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data pipelines and cloud infrastructure. Practising with a friend or using mock interview platforms can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Senior Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and Azure. 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 shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We’re looking for someone who can build clean, efficient data solutions, so let us know how you’ve done this before!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Morson Edge (Financial Services)
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and Azure skills. Be ready to discuss specific projects where you've built data pipelines or improved cloud infrastructure. The more detailed examples you can provide, the better!
✨Understand the Business Context
Familiarise yourself with the insurance industry and how data impacts pricing, reserving, and risk modelling. Showing that you understand the business side will impress the interviewers and demonstrate your ability to work closely with actuarial teams.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in previous roles, especially around CI/CD pipelines and automation. Highlight how you approached these problems and the solutions you implemented, as this will showcase your hands-on experience.
✨Engage with Stakeholders
Be ready to talk about your experience working with both technical and non-technical stakeholders. Share examples of how you've translated complex requirements into actionable data solutions, as this is key for the role.
