At a Glance
- Tasks: Design and build enterprise-scale data solutions on Azure, optimising data pipelines.
- Company: Leading specialty finance business transforming data usage across Finance and Claims.
- Benefits: Competitive salary, bonus, pension, hybrid work, and excellent wellbeing support.
- Other info: Collaborative culture with high ownership and career growth opportunities.
- Why this job: Tackle meaningful data challenges and influence real financial decisions.
- Qualifications: Strong experience in data platforms, T-SQL, Azure, and Python required.
The predicted salary is between 50000 - 80000 £ per year.
We’re partnering with a leading specialty finance business that’s investing heavily in its data platform to transform how data is used across Finance, Actuarial and Claims — including AI-driven initiatives that are genuinely moving the needle.
This is a hands-on data engineering role where you’ll sit at the heart of the organisation’s data strategy, working closely with senior stakeholders while building modern, scalable solutions on Azure and Databricks. If you enjoy solving complex data problems in a regulated, data-rich environment - this one’s for you.
The Opportunity
You’ll join a growing data team delivering a wide range of business-critical projects, from modernising legacy data warehouses to enabling advanced analytics and AI use cases across the insurance lifecycle. This role blends deep technical ownership with real business influence — ideal for an experienced Data Engineer who wants to see their work directly impact underwriting, claims and financial decision-making.
What You’ll Be Doing
- Designing and building enterprise-scale data solutions on the Microsoft Azure platform
- Developing and optimising data pipelines using ADF / SSIS, Databricks and Python
- Working with large, complex datasets across Finance, Actuarial and Claims domains
- Supporting the migration and optimisation of legacy SQL Server data warehouses into Azure
- Acting as a senior technical voice within the team — guiding standards, best practice and delivery
- Collaborating with internal teams, offshore partners and senior business stakeholders
- Delivering high-quality, well-tested and well-documented solutions in an Agile environment
What They’re Looking For
- Strong experience designing and delivering enterprise data platforms
- Advanced T-SQL skills (performance tuning, complex transformations, stored procedures)
- Hands-on experience with Azure Data Factory, Databricks and Python
- Solid understanding of data warehousing, ETL, dimensional modelling and data governance
- Comfortable working in Agile teams with CI/CD, Git and Azure DevOps
- Insurance or financial services experience strongly preferred (London Market / Lloyd’s a plus)
- Confident communicator who enjoys working directly with non-technical stakeholders
Why This Role?
- Work on genuinely meaningful insurance data problems — not BAU reporting
- Strong backing for modern cloud data and AI initiatives
- High level of ownership and autonomy
- Hybrid working and a mature, collaborative engineering culture
- Excellent benefits covering financial, physical and mental wellbeing
If you’re a senior data engineer looking to apply modern data engineering and AI techniques within a forward-thinking insurance environment — let’s talk.
Locations
Data Engineer in Cheshire, Warrington employer: Loop Recruitment
Join a leading specialty finance business in Manchester that prioritises innovation and employee growth. With a strong focus on modern cloud data initiatives and a collaborative engineering culture, you'll have the opportunity to work on impactful projects while enjoying excellent benefits that support your financial, physical, and mental wellbeing. This hybrid role offers a unique chance to influence key business decisions and advance your career in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Cheshire, Warrington
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering field. You never know who might have a lead on your dream job!
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of projects that highlight your experience with Azure, Databricks, and Python. This will give you an edge and make you memorable during interviews.
✨Ace the Interview
Prepare for those technical interviews by brushing up on your T-SQL skills and understanding data warehousing concepts. Practice common interview questions and be ready to discuss how you’ve solved complex data problems in the past.
✨Apply Through Our Website
Make sure to apply through our website for the best chance at landing that role! We’re always on the lookout for talented Data Engineers who are ready to make an impact in the financial services sector.
We think you need these skills to ace Data Engineer in Cheshire, Warrington
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your experience with Azure, Databricks, and any relevant projects you've worked on in financial services.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our team. Mention specific examples of how you've solved complex data problems in the past.
Showcase Your Technical Skills:Don’t shy away from listing your technical proficiencies, especially in T-SQL, ETL processes, and Python. We want to see how you’ve applied these skills in real-world scenarios, so be specific!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Loop Recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure, Databricks, and Python. Brush up on your T-SQL skills, especially performance tuning and complex transformations. Being able to discuss specific projects where you've used these technologies will show your hands-on experience.
✨Understand the Business Context
Familiarise yourself with the financial services sector, particularly how data impacts underwriting and claims. Be ready to discuss how your work can influence business decisions and improve processes. This shows you’re not just a techie but also understand the bigger picture.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve complex data problems or optimise data pipelines. Think of examples from your past experiences where you’ve tackled similar challenges. This will demonstrate your problem-solving skills and technical expertise.
✨Showcase Your Collaboration Skills
Since this role involves working closely with senior stakeholders and internal teams, be prepared to discuss how you’ve successfully collaborated in previous roles. Highlight any experience you have in Agile environments and how you’ve communicated technical concepts to non-technical audiences.
