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.
Data Engineer in Manchester 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 Manchester
✨Tip Number 1
Network like a pro! Reach out to connections in the finance and data engineering sectors. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure, Databricks, and Python. This is your chance to demonstrate your hands-on experience and problem-solving abilities in real-world scenarios.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with data warehousing, ETL processes, and how you’ve collaborated with stakeholders. Practice makes perfect!
✨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 and engaged with our platform.
We think you need these skills to ace Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Engineer. Highlight your experience with Azure, Databricks, and Python, and don’t forget to mention any relevant projects that showcase your skills in data warehousing and ETL.
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 your background aligns with our mission at StudySmarter. Be sure to mention your experience in financial services if applicable!
Showcase Your Technical Skills:In your application, be specific about your technical expertise. Mention your advanced T-SQL skills and any hands-on experience with Azure Data Factory or CI/CD processes. We want to see how you can contribute to our data strategy!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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.
