Join to apply for the Senior Data BA/ Senior Data Modeller role at myGwork – LGBTQ+ Business Community
Canada Life UK is an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.
Canada Life UK looks after the retirement, investment and protection needs of individuals, families and companies by operating as a modern, agile and welcoming organization.
Part of Great-West Lifeco, Canada Life UK has operated in the United Kingdom since 1903, with a committed workforce focused on integrity and customer service.
Canada Life UK is transforming to become a more customer‑focused business by providing expertise on financial and tax planning, home finance, annuities, and collective fund solutions.
Job Purpose
The Senior BA / Senior Data Modeller will take end‑to‑end ownership of designing, developing, and maintaining data models for our enterprise data platform, primarily using Databricks and the Nova platform. This role is critical in ensuring that our data assets underpin business intelligence, analytics, and reporting.
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, using Databricks and the Nova platform.
* Ensure data models align with business requirements, data governance standards, and best practices.
* Collaborate with data engineers, architects, and business stakeholders to translate data requirements into effective structures.
* Document data models, definitions, and metadata for clarity and consistency across the organisation.
* Review and optimise existing data models for performance, scalability and maintainability.
* Lead model validation and quality assurance activities to ensure accurate, fit‑for‑purpose models.
* 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 data‑model matters within your domain.
* Champion model governance and maintain models per organisational standards and policies.
* Support integration of new data sources and the evolution of the enterprise data platform.
Essential Knowledge / Experience / Skills
* Extensive experience in data modelling, including logical and physical modelling, ideally within Databricks and/or similar cloud‑based platforms.
* Demonstrable experience owning and maintaining enterprise data models, including governance and documentation.
* Strong understanding of data warehousing, lakehouse architectures, and modern data platforms.
* Ability to translate complex business requirements into scalable, 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 and ability to collaborate 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 offer a competitive salary, comprehensive reward package including pension, bonus scheme, income protection, private medical insurance, and life assurance. Additional benefits include development support, flexible working, and a focus on continual learning.
How We Work at Canada Life
Our culture encourages curiosity, ownership, collaboration, and forward thinking. We invest in the development of our people, technology, and workplaces, offering training, flexible work options, and growth opportunities.
Diversity and Inclusion
We are committed to building an inclusive workplace where everyone can feel belonging and reach their potential regardless of gender, ethnicity, or other characteristics. We celebrate diversity, equity, and inclusion, and we strive to make our organization a model for diversity.
Flexible working arrangements, including part‑time options, are available for any role that requires them.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Research, Analyst, and Information Technology
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