At a Glance
- Tasks: Design and manage scalable cloud data platforms for advanced analytics and AI-driven decision-making.
- Company: Join esure Group, a leader in transforming the insurance industry with digital innovation.
- Benefits: Competitive salary, flexible leave, private medical insurance, and discounts on insurance products.
- Why this job: Make a real impact in reshaping insurance through cutting-edge data solutions and technology.
- Qualifications: Hands-on experience in data modelling and cloud-native infrastructures, especially AWS.
- Other info: Enjoy a hybrid working approach and opportunities for professional growth in an inclusive environment.
The predicted salary is between 36000 - 60000 £ per year.
Data Architect Job Tenure: Full-time, permanentSalary: CompetitiveCompany Description
Ready to join a team that\’s leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good!
We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold dedication for digital innovation, we\’re transforming the way the industry operates and putting customers at the heart of everything we do.
Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future.
Job Description
We are currently looking for a Data Architect to join our forward thinking Data department.
You’ll work in a team of data engineers, analytics engineers, data scientists and AI specialists to design and evolve scalable data platforms and modern data products that enable self-service analytics, advanced modelling, and AI-driven decision-making across our insurance business.
What you’ll do:
- Design and manage scalable cloud data platforms (Databricks on AWS) across development, staging, and production environments, ensuring reliable performance and cost efficiency.
- Integrate and model data from diverse sources – including warehouses, APIs, marketing platforms, and operational systems – using DBT, Delta Live Tables, and dimensional modelling to deliver consistent, trusted analytics.
- Enable advanced AI and ML use cases by building pipelines for vector search, retrieval-augmented generation (RAG), feature engineering, and model deployment.
- Ensure security and governance through robust access controls, including RBAC, SSO, token policies, and pseudonymisation frameworks.
- Develop resilient data flows for both batch and streaming workloads using technologies such as Kafka, Airflow, DBT, and Terraform.
- Shape data strategy and standards by contributing to architectural decisions, authoring ADRs, and participating in reviews, data councils, and platform enablement initiatives.
Qualifications
What we’d love you to bring:
- Proven, hands-on expertise in data modelling, with a strong track record of designing and implementing complex dimensional models, star and snowflake schemas, and enterprise-wide canonical data models
- Proficiency in converting intricate insurance business processes into scalable and user-friendly data structures that drive analytics, reporting, and scenarios powered by technology
- Extensive experience designing fact and dimension tables across domains such as policy, quote, claims, pricing, and fraud, ensuring consistency and alignment with business metrics
- Deep practical knowledge of semantic layer design and implementation using DBT, SQL, and Delta Live Tables
- Strong background in building high-performance, scalable data models that support self-service BI and regulatory reporting requirements
- Direct exposure to cloud-native data infrastructures (Databricks, Snowflake) especially in AWS environments is a plus
- Experience in building and maintaining batch and streaming data pipelines using Kafka, Airflow, or Spark
- Familiarity with governance frameworks, access controls (RBAC), and implementation of pseudonymisation and retention policies
- Exposure to enabling GenAI and ML workloads by preparing model-ready and vector-optimised datasets
- Demonstrated capability to collaborate successfully with interested parties in data engineering, analytics, architecture, and business teams
- Advanced SQL skills and a keen focus on performance tuning, data integrity, and reusable compose patterns across data products
Additional Information
What’s in it for you?:
- Competitive salary that reflects your skills, experience and potential.
- Discretionary bonus scheme that recognises your hard work and contributions to esure’s success.
- 25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday.
- Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances.
- Company funded private medical insurance for qualifying colleagues.
- Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members.
- We’ll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources.
- Driving good in the world couldn’t be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities.
- Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues.
- We’re a proud supporter of the ABI’s ‘Make Flexible Work’ campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work.
- And much more; See a full overview of our benefits here Reward and benefits | Esure Group PLC
We are committed to creating an inclusive and diverse workplace where everyone feels valued, respected, and empowered. We celebrate individuality and create spaces where unique backgrounds and experiences can come together. We believe that diverse perspectives drive innovation, in turn enabling us to better serve our customers, community and build a stronger organisation. Our commitment to inclusion extends to every part of our business, from hiring practices to professional growth opportunities, ensuring equal access and support for all.
Data Architect - Reigate employer: esure Group
Contact Detail:
esure Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect - Reigate
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data projects. This gives you a chance to demonstrate your expertise in data modelling and cloud platforms, making you stand out to hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture questions and scenarios. Practice explaining your past projects and how they relate to the role at esure Group. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our mission to revolutionise insurance.
We think you need these skills to ace Data Architect - Reigate
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Architect role. Highlight your experience with data modelling and cloud-native infrastructures, as these are key to what we’re looking for at StudySmarter.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work that showcase your expertise in building scalable data platforms and your familiarity with tools like DBT and AWS.
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s relevant to the role. Make it easy for us to see why you’d be a great fit!
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 and shows your enthusiasm for joining our team at StudySmarter!
How to prepare for a job interview at esure Group
✨Know Your Data Models
Make sure you brush up on your data modelling skills, especially around dimensional models, star and snowflake schemas. Be ready to discuss how you've designed and implemented these in past roles, as this will show your hands-on expertise.
✨Familiarise with the Tech Stack
Get comfortable with the technologies mentioned in the job description, like Databricks, DBT, and AWS. If you can, try to work on a small project or case study using these tools to demonstrate your practical knowledge during the interview.
✨Prepare for Scenario Questions
Expect questions that ask you to solve real-world problems related to data architecture. Think about how you would approach integrating diverse data sources or building resilient data flows, and be ready to explain your thought process clearly.
✨Show Your Collaborative Spirit
Since the role involves working with various teams, be prepared to share examples of how you've successfully collaborated with data engineers, analysts, and business stakeholders. Highlight your communication skills and how you ensure everyone is aligned on data strategy.