Power BI Data Engineer: Semantic Models & DevOps

Women in Data®; Greater Manchester; Híbrido; GBP 55 000 - 75 000; Tempo integral

Resumo da oferta

Royal London is seeking a technically minded Power BI Developer who wants to go beyond dashboards and shape customer reporting. You’ll join a product team within our Group Data & AI Office delivering reporting data products across the organisation, with a focus on Consumer Duty reporting.

You’ll own semantic models, improve deployment and CI/CD, champion Data DevOps, explore AI-enabled reporting and stay aligned with Agile Kanban practices in a hybrid working environment (50% from home, 50%

Qualificações

• Strong Power BI expertise with an engineering mindset.
• Experience with Power BI semantic models and data modelling.
• Knowledge of CI/CD, version control and deployment management.
• Familiarity with YAML pipelines and Infrastructure as Code concepts.
• Awareness of Data DevOps practices and agile, Kanban teams.

Responsabilidades

• Own and develop Power BI semantic models to support customer reporting.
• Improve version control, deployment processes and SDLC practices.
• Implement and enhance CI/CD pipelines and YAML-based deployments.
• Champion Data DevOps and establish sustainable working practices.
• Explore AI-enabled reporting opportunities and practical tooling.

Conhecimentos

Power BI

Data modelling

CI/CD

YAML pipelines

Infrastructure as Code

Agile / Kanban

AI-enabled reporting

Ferramentas

Databricks

Microsoft Fabric

Azure DevOps

Descrição da oferta de emprego

Royal London is seeking a technically minded Power BI Developer who wants to go beyond dashboards and shape customer reporting. You’ll join a product team within our Group Data & AI Office delivering reporting data products across the organisation, with a focus on Consumer Duty reporting.

You’ll own semantic models, improve deployment and CI/CD, champion Data DevOps, explore AI-enabled reporting and stay aligned with Agile Kanban practices in a hybrid working environment (50% from home, 50%