Power BI Developer (Data Visualisation Engineer)

Women in Data®; Greater Manchester; Hybrid; GBP 55,000 - 75,000; Full time

Job summary

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%

Qualifications

• 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.

Responsibilities

• 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.

Skills

Power BI

Data modelling

CI/CD

YAML pipelines

Infrastructure as Code

Agile / Kanban

AI-enabled reporting

Tools

Databricks

Microsoft Fabric

Azure DevOps

Job description

• Location: Alderley Park (Wilmslow) or Glasgow
• Working Style: Hybrid - 50% from home / 50% office based

Right To Work: Only candidates who possess a valid right to work in the UK or Eligibility to work in Ireland will be able to undertake this role. Unfortunately, Royal London are unable to offer visa sponsorship

We’re looking for a technically minded Power BI Developer who wants to go beyond dashboard development and help shape the future of customer reporting at Royal London. You’ll join a product team within our Group Data & AI Office delivering customer reporting data products across the organisation. Consumer Duty reporting remains an important focus, while the team continues to build a trusted, consistent source of customer reporting data.

This is an opportunity to take ownership, influence technical direction and modernise how reporting solutions are developed, controlled and deployed. You’ll work with technologies including Power BI, Databricks, semantic models, Azure DevOps, CI/CD pipelines and YAML-based deployment processes.

About the opportunity:

• Own and develop Power BI semantic models that support high-quality customer reporting.
• Improve version control, deployment processes and software development lifecycle practices.
• Implement and enhance CI/CD pipelines, Infrastructure as Code and YAML-based deployment capabilities.
• Champion Data DevOps practices and help the team establish effective, sustainable ways of working.
• Explore opportunities for AI-enabled reporting and Agentic BI.
• Research emerging technologies and introduce practical new tools and approaches.
• Influence technical direction while working collaboratively in an Agile, Kanban-based product team.

About you:

You’ll bring strong Power BI expertise and an engineering mindset, with an interest in developing reliable, scalable reporting solutions. We’re interested in people from a range of backgrounds, including Power BI development, software engineering, data engineering, data analysis and infrastructure engineering.

We’re looking for experience or knowledge in:

• Power BI and Power BI semantic models.
• Microsoft Fabric.
• CI/CD implementation, version control and deployment management.
• YAML pipelines and Infrastructure as Code concepts.
• Data modelling, including facts and dimensions.

Experience with Databricks or a similar data warehousing technology, Agile ways of working, or AI-enabled reporting would be valuable, but isn’t essential. Financial services experience is also welcome, although it isn’t required.

This opportunity would suit someone from a software engineering background, who is keen to apply your skills to data and reporting.

What you’ll get from the role

You’ll have the autonomy to identify opportunities, recommend improvements and help shape our reporting engineering capability. With meaningful ownership across Data DevOps, semantic modelling and deployment practices, you’ll be able to build your expertise and make a visible contribution.

We’ll encourage you to keep learning through training, certifications, conferences, industry networking and dedicated research and development. As our data product landscape grows, the role also offers opportunities to develop towards more senior technical or leadership positions.

If you feel you’d be a great fit for Royal London but don’t meet every requirement, we’d still love to hear from you. Research shows some candidates are less likely to apply unless they meet 100% of the criteria - if you meet most requirements and are keen to learn, we encourage you to apply!

About Royal London

We’re the UK’s largest mutual life, pensions and investment company, offering protection, long-term savings and asset management products and services.

Our People Promise to our colleagues is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values; Empowered, Trustworthy, Collaborate, Achieve.

We've always been proud to reward employees by offering great workplace benefits such as 28 days annual leave in addition to bank holidays, an up to 14% employer matching pension scheme and private medical insurance.

Inclusion, diversity and belonging

We’re an inclusive employer. We celebrate and value different backgrounds and cultures across Royal London. Our diverse people and perspectives give us a range of skills which are recognised and respected – whatever their background.

We are proud supporters of Women in Data.

Connect, engage and belong to the largest free female data community in the UK – visit: womenindata.ai to join our community.

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