Senior Data BA/ Senior Data Modeller at Canada Life and Irish Life

Bristol, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

28 Mar, 26

Salary

0.0

Posted On

28 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Modelling, Databricks, Data Governance, Data Quality Assurance, Data Warehousing, Cloud-Based Platforms, Analytical Skills, Problem-Solving, Communication Skills, Collaboration, Metadata Management, Agile Methodologies, Documentation, Model Validation, Performance Optimization, Data Integration

Industry

Insurance

Description

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 PurposeThe 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.

Responsibilities

The Senior Data BA/Senior Data Modeller will take ownership of the design, development, and maintenance of data models for the enterprise data platform. This includes collaborating with stakeholders to translate business requirements into effective data structures and ensuring data governance standards are met.