Lead Data Engineer

Life can sometimes be unpredictable, and it pays to plan ahead. Our aim at Legal & General Retail is to help our customers plan for the unexpected, achieve financial security for their tomorrow, and protect everything that’s important to them. To better understand our customers and meet their needs, we’ve brought our protection, retirement income, savings, lending and advice, fintech and mortgage businesses under one umbrella. Created at the start of 2022 through the merging of our long-standing and trusted retail retirement and insurance businesses, we’re a fast-growing division with big, customer-centred ambitions.

Legal and General Retail’s Data Operations team are currently hiring three Lead Data Engineers following the merger of internal divisions resulting in them expanding into a new area. These positions are to focus on the retirements side of the Retail division and will build out new data pipelines utilising tools such as Synapse, DBT, Azure Devops and Snowflake.

This role will see you responsible for designing, building, and implementing a variety of data solutions using modern ETL techniques and tools and you will be driving projects forward while serving as a mentor and coach to junior members of the team.

What you will be doing

• Ensuring the solutions developed and deployed are fit for purpose and GDPR compliant, meeting the business requirements, adhering to quality standards, and delivering the intended value.
• Ensuring all developments delivered follow the agreed standards and release management processes.
• Taking responsibility for evolving these standards in an environment of continuous change facilitating team sessions that seek to improve them and keep them current & compliant.
• Identifying issues and risks with the solutions created and leading their resolution while providing support to colleagues in your team as required.
• Providing input into team and project planning activities and work within an agile delivery framework as part of a Scrum team.
• Facilitating the refinement of the tasks in the Product Backlog and guide and support your team as you break deliveries down into technical data engineering components.
• Converting user stories in to technical, quality, testing and documentation tasks in the chosen work-flow management tool.
• Liaising with the end customers, Architect & Product Owner to translate business goals into compliant specifications that facilitate the delivery of the technical solution and can be used by any engineer.
• Participating in high level epic refinement sessions with the Scrum Team, ensuring that they are understood and achievable by the engineering team.
• Provide mentorship and support to junior and mid-level data engineers in your team and acting as a role model to colleagues across the Data Ops function.

• Relevant professional qualifications in Data Engineering or related specialism
• Industry recognised badges/certificates on any of the following tools: Snowflake, Azure Synapse/Data Factory, DBT Cloud, Azure DevOps
• Industry recognised badges/certificates on any of the following methodologies: Scrum/Kanban, DevOps/DataOps, Dimensional Data Modelling (Kimball)

Legal & General is a leading financial services group and major global investor, named Britain’s Most Admired Company in 2023, for the second year running. Rated top in our sector and top for inspirational leadership, we have a strong heritage and an exciting future.

We aim to build a better society for the long term by investing our customers’ money in things that make life better for everyone.

If you join us, you’ll be part of a welcoming culture, with opportunities to collaborate with people of diverse backgrounds, views and experiences. Guided by leaders with integrity who care about your future and wellbeing. Empowered through initiatives which support people to develop their careers and excel.

We strive to be open, mindful and inclusive, so are always willing to discussing flexible working arrangements and reasonable accommodations for candidates with specific needs.

If you’re open to find out more, we'd love to hear from you.