- Permanent/Regular or Fixed Term Contract/Temporary: Permanent (UK and ROW) / Regular (US)
- L&G Business Unit: Legal & General Group IT & Digital
- L&G sub Business Unit: GROUP COO1
- Primary Location: Hove, One City Park
- Job Family: IT & Change
Company Description
Legal & General (L&G) is a leading UK financial services group and major global investor.
We’ve been safeguarding people’s financial futures since 1836, and strive to build a better society, while improving the lives of our customers and creating value for shareholders.
We are one of the world’s largest asset managers and provide powerful asset origination capabilities. Together, these underpin our retirement and protection solutions: we are an international player in pension risk transfer, in UK and US life insurance, and in UK workplace pensions and retirement income.
Our Group Functions provide the services that all areas of the business need. This requires a talented and diverse team behind the scenes, who enable everyone at L&G to do what they do best.
Joining us means helping to improve the lives of our customers and contributing to the success of the business every day.
Job Description
We’re looking for anAnalytics Engineerto join our Data & Analytics team, helping to build scalable, reliable and well-governed data products usingmodern analytics engineering practices.
This role is centred on data modelling, transformation and pipeline development, with a strong focus ondbt-style workflows and cloud data platforms (e.g. Snowflake). You’ll play a key role in shaping how data is structured and delivered across the organisation, enabling high-quality, self-service analytics.
While the role includes exposure to Power BI, the focus is onengineering robust datasets and semantic modelsthat underpin reporting, rather than building dashboards.
What you’ll be doing:
Build scalable data models and transformation layers
- Design and develop reusable, well-structured data models to support analytics use cases
- Apply best practices in dimensional modelling and semantic layer design
Develop and operate data pipelines
- Create and maintain automated ELT pipelines to transform and deliver data from multiple sources
- Ensure pipelines are reliable, efficient and scalable within a cloud data environment (e.g. Snowflake)
- Promote standardisation, modular design and reusability across data transformations
Drive data quality and engineering best practice
- Implement testing frameworks (e.g. data validation, schema tests, lineage) to ensure data accuracy
- Maintain documentation, version control and structured development practices
- Contribute to the adoption of modern analytics engineering standards across the team
- Develop and maintain datasets and semantic models for Power BI consumption
- Validate and test data within Power BI to ensure consistency with underlying models
- Support programmatic interaction with Power BI (e.g. metadata extraction, automation, integration with data workflows)
- Ensure strong alignment between upstream models and downstream reporting outputs
Collaborate with analysts and stakeholders
- Translate business requirements into scalable, reusable data assets
- Enable self-service analytics by delivering clean, well-structured datasets
- Work closely with analysts to improve data usability and consistency
Optimisation and continuous improvement
- Improve performance of queries, transformations and data models
- Identify opportunities to automate processes and enhance efficiency
- Contribute to tooling, frameworks and shared development patterns
Who we’re looking for:
- Strong experience with SQL and data modelling (e.g. dimensional modelling, semantic modelling)
- Experience with modern data transformation tooling (e.g.dbtstrongly preferred)
- Experience working with cloud data platforms (e.g. Snowflake, Azure, AWS)
- Experience building and maintaining scalable data pipelines and datasets
- Understanding of data quality, testing and governance practices
- Experience working with Power BI datasets/semantic models (rather than solely report development)
- Experience with Python or scripting for automation desirable
- Exposure to version control (e.g. Git) and collaborative development practices
Why is this role different?
- Focus ondata modelling and transformation — not reporting delivery
- Built aroundmodern analytics engineering (dbt, ELT, testing, version control)
- Strong emphasis oncloud data platforms (e.g. Snowflake)
- Power BI used as aconsumer layer, not the primary skill set
- Opportunity to help shapestandards, tooling and engineering practices
Benefits
- The opportunity to participate in our annual, performance -related bonus plan and valuable share schemes
- Life assurance
- Healthcare Plan (permanent employees only)
- At least 25 days holiday, plus public holidays, 26 days after 2 years’ service. There’s also the option to buy and sell holiday
- Competitive family leave
- Participate in our electric car scheme, which offers employees the option to hire a brand-new electric car through tax efficient salary sacrifice (permanent employees only)
- There are many discounts we offer – both for our own products and at a range of high street stores and online
- We’re creating net‑zero carbon workplaces by 2030 by investing in our sustainable, modern offices across the UK, all designed to bring people together and elevate the in‑person experience
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