Lead Data Engineer



This job posting expired and applications are no longer accepted.
Legal and General
Published
18.03.2024
Location
Cardiff, United Kingdom
Job Type
Hybrid Working Opportunity
TELECOMMUTE
  • Full-time
  • Permanent or Fixed Term Contract: Permanent
  • L&G Business Unit: Legal & General Retail
  • L&G sub Business Unit: RETAIL - CENTRAL
  • Primary Location: Cardiff, Four Central Square
  • Job Family: IT & Change

Company Description

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.

Job Description

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.

Qualifications

  • 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)

Additional Information

The brand with the brolly is choosing today to change tomorrow.

Since 1836, we’ve grown to become one of the world's largest asset managers, homebuilders, pension providers and insurance brands.

We’re all here to improve the lives of our customers, build a better society for the long term, and create value for our shareholders - helping to shape a better future for society and the planet.

We need people who share our ambitions, agility and entrepreneurial spirit to help us do it.

At L&G, you’ll find a balance that helps you be your best. Empowered by hybrid working, we’re supported by technology and workplaces that enable us to work effectively wherever we are. We come together in offices to collaborate and connect, and use time at home for individual, focused activities. And, when we achieve great things, we celebrate our success and reward strong performance.

Today, there’s over 10,000 of us, working towards our mission, with plenty of opportunities to grow your career as we grow L&G. Will you join us?

Great minds don’t have to think alike, so we welcome voices from all backgrounds. Bringing together people with different life experiences helps us build empathy with our customers and drive innovation.

We don’t just talk about it, we actively promote diversity and equitable opportunities for all. That means our employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability or protected veteran status. In fact, we embrace every dimension of diversity to reflect the customers and communities we serve.

We think it’s important to create an inclusive environment where we can all belong, contribute and drive progress, where you can develop and grow, and be empowered. We want you to use your voice to help us build a better tomorrow.

We all work differently, and have different needs, which is why. we’re always open to discussing flexible working arrangements. Likewise, we’re committed to finding reasonable accommodations for candidates with specific needs during our recruiting process.

So whoever you are, wherever you are, whatever your story, we'd love to hear from you.

 

We are proud supporters of Women in Data®.  Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.

 

APPLY HERE: Lead Data Engineer

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