Lead Data Engineer

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.

Requirements

• 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)