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For Companies At a Glance
- Tasks: Modernise data systems and build scalable solutions using cutting-edge tech.
- Company: Leading organisation in the London insurance market with a collaborative culture.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Join a dynamic team focused on future-proofing technology with AI integration.
- Why this job: Make a real impact by transforming legacy systems and driving innovation.
- Qualifications: Strong coding skills in R, Python, and SQL; insurance background required.
The predicted salary is between 60000 - 80000 £ per year.
Are you a technical problem-solver who thrives on modernising legacy systems and building scalable data solutions? We are partnering with a leading organisation in the London insurance market to find a Data & Systems Developer to join their Data Management & Automation team. This is a unique opportunity to act as a technical partner, taking ownership of the development and evolution of the company’s data and analytics estate while working in a collaborative, non-hierarchical environment.
The Role
- Modernise the Landscape: Design, build, and maintain new solutions using Databricks, R, Python, and Power BI.
- Drive Transformation: Lead the migration of the data landscape, replacing legacy Visual Basic scripts with modern SQL, Python, or R alternatives, and support the retirement of legacy technology.
- System Ownership: Take responsibility for the maintenance and evolution of the data repository and core reporting solutions.
- Strategic Engagement: Act as a trusted technical partner to business stakeholders, translating requirements into clear delivery plans and robust, well-governed reporting solutions.
- Future-Proofing: Contribute to architectural decisions and explore the integration of AI into the technology stack.
Your Profile
- Insurance background: mandatory
- Technical Proficiency: Strong coding skills in R, Python, and SQL. You should be well-versed in coding best practices, including DevOps, version control, and CI/CD pipelines.
- Domain Experience: Experience in data analysis and reporting, with a strong understanding of data and control requirements in a regulated setting.
- Architecture Mindset: Experience supporting major transformation programmes, such as system replacements or the implementation of core platforms. Exposure to enterprise data architecture or cloud-based platforms is required.
- Communication: Ability to act as a bridge between technical teams and non-technical stakeholders, effectively managing expectations, dependencies, and risks.
Qualifications: A Bachelor’s Degree or equivalent (ideally in a STEM subject).
Data & Systems Developer in London employer: JSS
Contact Detail:
JSS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Systems Developer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and tech sectors. Attend meetups or webinars where you can chat with industry folks. 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 in R, Python, and SQL. Share it on platforms like GitHub or even your own website. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions related to data management and automation. Use mock interviews with friends or online platforms to get comfortable discussing your experience and problem-solving approach.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Tailor your application to highlight your experience with modernising systems and engaging with stakeholders – that’s what we love to see!
We think you need these skills to ace Data & Systems Developer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data & Systems Developer. Highlight your experience with R, Python, and SQL, and don’t forget to mention any insurance background you have. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about modernising legacy systems and how you can contribute to our Data Management & Automation team. Keep it engaging and relevant to the job description.
Showcase Your Technical Skills: When detailing your technical proficiency, be specific! Mention projects where you've used Databricks, Power BI, or led migrations from Visual Basic to modern coding languages. We love seeing real examples of your work!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at JSS
✨Know Your Tech Inside Out
Make sure you brush up on your coding skills in R, Python, and SQL. Be ready to discuss specific projects where you've used these technologies, especially in modernising legacy systems. This will show that you not only understand the tools but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled technical challenges in the past, particularly in a regulated environment like insurance. Highlight your experience with data analysis and reporting, and be ready to explain how you approached system replacements or major transformations.
✨Communicate Like a Pro
Since you'll be acting as a bridge between technical teams and non-technical stakeholders, practice explaining complex concepts in simple terms. Think about how you can convey your ideas clearly and manage expectations, as this is crucial for the role.
✨Be Future-Focused
Demonstrate your architectural mindset by discussing how you would contribute to future-proofing the company's data landscape. Bring up any ideas you have about integrating AI into their technology stack, as this shows you're thinking ahead and are invested in the company's evolution.