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- Tasks: Own the design and development of data models for our enterprise data platform.
- Company: Join Canada Life, a leader in insurance with a focus on community and innovation.
- Benefits: Enjoy a competitive salary, generous pension, private medical insurance, and ongoing professional development.
- Why this job: Make a real impact by optimising data structures 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 that values curiosity and collaboration.
The predicted salary is between 43200 - 72000 Ā£ per year.
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 wellādocumented 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
- Extensive experience in data modelling, including both logical and physical modelling, ideally within Databricks and/or similar cloudābased 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 handsāon 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 problemāsolving skills.
- 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
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Project Management
Industries: Insurance
Senior Data Modeller in London employer: Canada Life UK
Contact Detail:
Canada Life UK Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Senior Data Modeller in London
āØTip Number 1
Network like a pro! Reach out to your connections in the data modelling field, especially those who work at Canada Life. A friendly chat can open doors and give you insider info about the company culture and job expectations.
āØTip Number 2
Prepare for interviews by brushing up on your knowledge of Databricks and the Nova platform. Be ready to discuss how you've tackled data modelling challenges in the past and how you can contribute to their enterprise data platform.
āØTip Number 3
Showcase your collaborative skills! During interviews, highlight experiences where you've worked closely with data engineers and business stakeholders. This will demonstrate that you can effectively translate complex requirements into actionable data models.
āØTip Number 4
Donāt forget to apply through our website! Itās the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining the Canada Life team.
We think you need these skills to ace Senior Data Modeller in London
Some tips for your application š«”
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with data modelling, especially in Databricks and the Nova platform. We want to see how your skills align with the specific requirements of the Senior Data Modeller role.
Showcase Your Collaboration Skills: Since this role involves working closely with data engineers, architects, and business stakeholders, be sure to include examples of how you've successfully collaborated in the past. We love seeing teamwork in action!
Be Clear and Concise: When documenting your experience, keep it straightforward and to the point. Use bullet points where possible to make it easy for us to read through your application. Clarity is key!
Apply Through Our Website: We encourage you to submit your application directly through our website. Itās the best way for us to receive your details and ensures youāre considered for the role. Plus, itās super easy!
How to prepare for a job interview at Canada Life UK
āØKnow Your Data Modelling Inside Out
Make sure you brush up on your data modelling skills, especially in logical and physical modelling. Familiarise yourself with Databricks and the Nova platform, as these are key to the role. Be ready to discuss specific examples of how you've designed and maintained data models in the past.
āØUnderstand the Business Needs
Before the interview, take some time to research Canada Life and their business model. Understand how data modelling supports their operations and be prepared to explain how you can translate complex business requirements into effective data structures that align with their goals.
āØShowcase Your Collaboration Skills
This role involves working closely with data engineers, architects, and business stakeholders. Prepare examples of how you've successfully collaborated with cross-functional teams in the past. Highlight your communication skills and how you ensure clarity and consistency in your work.
āØBe Ready for Technical Questions
Expect technical questions related to data governance, metadata management, and data quality assurance. Brush up on your knowledge of data warehousing and lakehouse architectures. Being able to confidently answer these questions will demonstrate your expertise and readiness for the role.
