Lead Data Engineer – Enterprise Data Provisioning JOB TITLE: Lead Data Engineer – Enterprise Data ProvisioningSALARY: £90,440 - £106,400 per annumLOCATIONS: Bristol or ManchesterHOURS: Full-timeWORKING PATTERN: Hybrid – at least 2 days per week or 40% of time at office A great opportunity has arisen for a Lead Data Engineer to join our engineering team and build data products in the Cloud that impact 26 million customers. Working in the Enterprise Data Provisioning Platform, you can help shape the Group's ambition by enabling the bank to gain value from data by providing safe and efficient Group‑wide data capabilities and services. With several lab teams collaborating on various features, data is key to our strategy and at the centre of our investment programme. Lloyds Banking Group is encouraging a common approach to the development of data to deliver greater reusability and ensure that our data can grow with the organisation. We want our data to be trusted, discoverable and understood. Why Lloyds Banking Group Like the modern Britain we serve, we’re evolving. Investing billions in our people, data and technology to transform the way we meet the ever‑changing needs of our 26 million customers. We’re embracing collaborative, agile ways of working, to help us deliver the best outcomes for our colleagues, customers and businesses. We’re growing with purpose. Join us on our journey and you will too! Responsibilities

Design, develop, and maintain complex Data Products while applying DevOps practices Lead implementation reviews and all aspects of data product delivery Evaluate and recommend tools, technologies, and processes Identify and implement best practices for data engineering Provide guidance and mentorship to engineers Have a strong understanding of data security principles and secure architectural practices Provide knowledge of DevOps practices and CI/CD pipelines Ensure timely delivery by managing tasks and priorities effectively Communicate effectively with team and stakeholders Accountable for custodianship governance activities on data assets

Qualifications and Experience

Line Management experience of small teams Experience with Google Cloud Platform (GCP) and its underlying data engineering services Familiarity with DevOps practices and tools, including CI/CD pipelines and containerisation (Docker, Kubernetes) Experience developing data validation methodology and data hub process models Data literacy: communicating with data confidently and effectively Data modelling and design

Additional Desirable Experience

Familiarity with cloud platforms such as Azure or AWS, and their underlying data engineering services Experience with Machine Learning (ML) or Agentic AI Experience with SQL and data warehouse technology such as BigQuery Familiarity with data visualisation tools such as Tableau, Power BI, or Looker Relevant certifications in data engineering, Google Cloud Platform (GCP), or related areas

Workplace and Inclusion Our focus is to ensure we’re inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it’s why we especially welcome applications from under‑represented groups. We’re disability confident. If you’d like reasonable adjustments to be made to our recruitment processes, just let us know. Benefits

A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Discounted shopping and other lifestyle‑adaptable benefits 30 days’ holiday, plus bank holidays Wellbeing initiatives and generous parental leave policies

If you’re excited by the thought of becoming part of our team, get in touch. We’d love to hear from you. #J-18808-Ljbffr