End Date Wednesday 28 January 2026 Salary Range £48,987 - £54,430 We support flexible working â click here for more information on flexible working options Flexible Working Options Job Share Job Description Summary . Job Description Job Title: Data Engineer Salary: £47,790 - £58,410 Location: Manchester Hours: Full time Working Pattern: Hybrid, 40% (or two days) in an office site About us Like the modern Britain we serve, weâre evolving. Investing billions in our people, data and tech to transform the way we meet the everchanging needs of our 26 million customers. Weâre growing with purpose. Join us on our journey and you will too⦠About this opportunity Lloyds Banking Group is the UK leading digital franchise, with over 13 million active online customers across our three main brands - including Lloyds Bank, Halifax and Bank of Scotland - as well as the biggest mobile bank in the country. We're building the bank of the future, and we need your help. The Hive Lab has a clear purpose â to âunleash Agentic Intelligence and transform Operating Models with Autonomous AI Workflowsâ and is committed to focussing on the latest technologies in the market and pushing the boundaries on the art of the possible through constant innovation. As a Data Engineer in the lab, you'll play a key role in building and maintaining the data backbone for our AI and analytics initiatives. You'll assist in designing, developing, and handling robust data pipelines within a cloud-native environment. Youâll work closely with data scientists and engineers to ensure the flow of high-quality data, enabling the creation of next-generation solutions. What youâll do Assist in crafting, building, and maintaining scalable and reliable workflows and data products. Support data scientists, analysts, and other collaborators by providing access to high-quality, reliable data. Identify and suggest improvements to the systems, processes, and security practices managing our data. Fix and resolve issues with data pipelines and platforms to ensure data quality and availability. Contribute to documentation, collaboration, and guidelines related to our data assets. Collaborate with team members on project planning and development activities. What youâll need Experience in a quantitative field (Computer Science, Engineering, Mathematics, or related subject area). Strong proficiency in Python (including libraries like pandas, SQLAlchemy) and SQL for data manipulation and pipeline development. Foundational understanding of data warehousing, data modelling concepts, and ETL/ELT processes. Strong problem-solving skills and the ability to work independently with sophisticated datasets. Familiarity with Git and collaborative development practices. Excellent communication skills and a collaborative attitude focused on continuous improvement. It would be great if you have: Experience with cloud platforms (GCP, Azure, or AWS) and their core data services (e.g., BigQuery, Cloud Storage, AWS S3, Glue). Familiarity with modern data stack tools such as dbt, Airflow, or similar orchestration and transformation technologies. Exposure to containerisation (Docker, Kubernetes) and CI/CD practices. Knowledge of data processing technologies like Spark or Hadoop. Awareness of data governance principles and data quality management. About working for us⦠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 why we especially welcome applications from underrepresented groups. Weâre disability confident. So, if youâd like reasonable adjustments to be made to our recruitment processes, just let us know. We also offer a wide ranging benefits package, which includes⦠A generous pension contribution of up to 15% An annual bonus award, subject to Group performance Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 28 daysâ holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies If youâre excited by the thought of becoming part of our team, get in touch. Weâd love to hear from you! At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together weâre building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.