At a Glance
- Tasks: Own the design and development of data models for our enterprise data platform.
- Company: Join Canada Life, a modern and agile organisation focused on building better futures.
- Benefits: Enjoy a competitive salary, generous pension, private medical insurance, and flexible working options.
- Why this job: Make a real impact by optimising data models that drive business intelligence and analytics.
- Qualifications: Experience in data modelling, particularly with Databricks and cloud platforms.
- Other info: Be part of a diverse team committed to personal and professional growth.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Canada Life UK looks after the retirement, investment and protection needs of individuals, families and companies. We help to build better futures for our customers, our intermediaries and our employees by operating as a modern, agile and welcoming organisation. Part of our parent company Great-West Lifeco, Canada Life UK has operated in the United Kingdom since 1903. We have hundreds of respected and supported employees committed to doing the right thing for our customers and colleagues.
Canada Life UK is transforming to create a more customer-focused business by providing our customers with expertise on financial and tax planning, offering home finance and annuities propositions, and providing collective fund solutions to third party customers.
Job Purpose
The Senior BA / Senior Data Modeller will take end-to-end ownership of the design, development, and maintenance of data models that underpin our enterprise data platform, with a particular focus on Databricks and the Nova platform. This role is critical in ensuring that our data assets are structured, governed, and optimised to support business intelligence, analytics, and reporting requirements. We are seeking an experienced professional who is comfortable working closely with data engineers, architects, and business stakeholders to translate business requirements into robust, scalable, and well-documented data models. You will be responsible for both logical and physical data modelling and will act as the subject matter expert and owner for all data models within your domain.
What you'll do
- Take full ownership of the data modelling lifecycle, from requirements gathering through to deployment and ongoing maintenance.
- Design, develop, and maintain logical and physical data models, primarily using Databricks and the Nova platform.
- Ensure data models are aligned with business requirements, data governance standards, and best practices.
- Collaborate with data engineers, architects, and business stakeholders to understand data requirements and translate them into effective data structures.
- Document data models, definitions, and metadata to ensure clarity and consistency across the organisation.
- Review and optimise existing data models for performance, scalability, and maintainability.
- Lead model validation and quality assurance activities, ensuring models are accurate and fit for purpose.
- Provide guidance and support to project teams and business users on data modelling best practices.
- Act as the primary point of contact and subject matter expert for all matters relating to data models within your area of responsibility.
- Champion data model governance and ensure models are maintained in line with organisational standards and policies.
- Support the integration of new data sources and the evolution of the enterprise data platform.
Knowledge / Experience / Skills
Essential
- Extensive experience in data modelling, including both logical and physical modelling, ideally within Databricks and/or similar cloud-based platforms.
- Demonstrable experience of owning and maintaining enterprise data models, including responsibility for model governance and documentation.
- Strong understanding of data warehousing, lakehouse architectures, and modern data platforms.
- Ability to translate complex business requirements into scalable and efficient data models.
- Proficient in data modelling tools and techniques, with hands-on experience in Databricks and the Nova platform (or similar).
- Excellent communication skills, with the ability to work collaboratively across technical and business teams.
- Experience in data governance, metadata management, and data quality assurance.
- Strong analytical and problem-solving skills.
Desirable
- Experience working in regulated industries such as insurance or financial services.
- Familiarity with reporting requirements such as IFRS and Solvency II.
- Experience with data visualisation tools and supporting analytics/reporting teams.
- Knowledge of automation tools and scripting for data model management.
- Experience working in Agile product teams and using tools such as JIRA/Confluence.
Benefits of working at Canada Life
We believe in recognising and rewarding our people, so we offer a competitive salary and benefits package that’s regularly reviewed. As a Canada Life UK colleague, you’ll receive a competitive salary and comprehensive reward package including a generous pension and bonus scheme, along with income protection, private medical insurance and life assurance. We have a fantastic number of other benefits and support services as well as regular personal and professional development.
How we work at Canada Life
Our culture is unique and incredibly important to us. We care about doing the right thing for our people, customers and community and helping others to build better futures. Our blueprint behaviours shape and influence how we work, and are central to the relationships we have with others. Every day we are encouraged to be more curious, own the outcome, face into things together and find a way forward. We want colleagues to have rewarding careers with us so we invest in the development of our people, technology and workplaces. That’s why we offer a range of training, flexible working and opportunities to grow and develop.
Diversity and inclusion
Building an inclusive workplace with a diverse workforce where everyone can feel they belong and achieve their potential regardless of gender, ethnicity or any other characteristic is a key commitment for us. We are proud of the progress we’re making in DEI, and we continue for it to be a significant focus.
“At Canada Life we believe in the power of great people from different backgrounds, experiences and perspectives coming together to build better futures. Emerging talent is crucial to our growth and creating an environment that continues to inspire us all.” Nick Harding, Chief People Officer, Canada Life UK
We appreciate that everyone has different work and life responsibilities. We’re happy to discuss flexible working arrangements, including part time, for any of our roles should this be a requirement for you.
Senior Data BA/ Senior Data Modeller - Canada Life Limited in Bristol employer: Canada Life Limited
Contact Detail:
Canada Life Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data BA/ Senior Data Modeller - Canada Life Limited in Bristol
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Canada Life on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into their data models and platforms. Show them you know your stuff about Databricks and the Nova platform. Bring examples of how you've tackled similar challenges in the past.
✨Tip Number 3
Don’t just talk about your skills; demonstrate them! If you can, bring a portfolio of your previous data models or projects. This will help you stand out and show that you’re the real deal.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Canada Life team.
We think you need these skills to ace Senior Data BA/ Senior Data Modeller - Canada Life Limited in Bristol
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with data modelling, especially in Databricks and similar platforms. We want to see how your skills align with the specific needs of the Senior Data BA role.
Showcase Your Experience: Don’t just list your previous roles; explain how you’ve taken ownership of data models and collaborated with teams. We love seeing real examples of how you've translated business requirements into effective data structures.
Be Clear and Concise: When documenting your experience, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that’s easy to read and understand.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Canada Life Limited
✨Know Your Data Inside Out
Before the interview, make sure you’re well-versed in data modelling concepts, especially logical and physical modelling. Brush up on your experience with Databricks and the Nova platform, as these will be key talking points. Be ready to discuss specific projects where you've successfully designed and maintained data models.
✨Showcase Your Collaboration Skills
Since this role involves working closely with data engineers, architects, and business stakeholders, prepare examples that highlight your teamwork. Think of situations where you translated complex business requirements into effective data structures and how you communicated those ideas clearly across different teams.
✨Demonstrate Your Problem-Solving Abilities
Be prepared to discuss challenges you've faced in data modelling and how you overcame them. This could include optimising existing data models for performance or ensuring data governance standards were met. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Understand the Company Culture
Familiarise yourself with Canada Life's values and culture. They emphasise doing the right thing for customers and colleagues, so think about how your personal values align with theirs. Be ready to share how you can contribute to their mission of building better futures and fostering an inclusive workplace.