Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineering Lead

Lloyds Banking Group
Bristol
2 days ago
Create job alert
Job Description Summary

JOB TITLE: Data Engineering Lead


LOCATION: Bristol, London


HOURS: Full-time


WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites.


About this opportunity

Join cross-functional product engineering teams to play a key role in delivering high-quality data capabilities. This opportunity sits within the Personalised Experiences and Communications Platform, where we’re focused on building innovative, data-driven solutions that enhance customer experiences.


As a Data Engineering Lead, you’ll bring deep technical expertise and a passion for engineering excellence. You’ll lead by example, championing best practices and exploring the possibilities offered by modern cloud technologies.


We understand that no one is an expert in every aspect of data or software engineering. If you have a background in data engineering and experience with coding or scripting, we’d love to hear from you.


What you’ll be doing

  • Lead end-to-end design, implementation and delivery of future architecture for highly scalable, resilient low latency systems
  • Collaborate with the head of engineering, product managers, architects, and other stakeholders to define and execute the data engineering teams’ roadmap, scope, and deliverables.
  • Lead engineering best practices
  • Drive technical strategy and direction for engineering team
  • Deliver technical solutions that can be leveraged across multiple entities across the group.
  • Drive the culture of delivering highly secured and high-quality pipelines.
  • Identify and eliminate recurring issues by automating processes.
  • Have cross-functional and cross-product impact in the organisation
  • Initiate, design and drive high impact ideas using the right design principles
  • Mentor and coach engineering teams, developing their skills and career growth.

What you’ll need

  • 15+ years of industry experience in designing, building and supporting distributed systems and large-scale data processing systems in production with a proven track record
  • Minimum of 5 years’ experience mentoring and coaching engineering teams, with a strong track record of supporting skill development and career growth.
  • Proven experience and knowledge of automation and CI/CD.
  • Best practice coding/scripting experience developed in a commercial/industry setting (Python, SQL, Java, Scala or Go).
  • Extensive experience working with operational data stores, data warehouse, large-scale data technologies, and data lakes
  • Experience in using distributed frameworks (Spark, Flink, Beam, Hadoop)
  • Good knowledge of containers (Docker, Kubernetes etc) and experience with cloud platforms such as GCP, Azure or AWS.
  • Strong experience working with Kafka technologies
  • Clear understanding of data structures, algorithms, software design, design patterns and core programming concepts.
  • Good understanding of cloud storage, networking, and resource provisioning

Why Lloyds Banking Group

We’re on an exciting journey and there couldn’t be a better time to join us. The investments we’re making in our people, data, and technology are leading to innovative projects, fresh possibilities, and countless new ways for our people to work, learn, and thrive.


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’s why we especially welcome applications from under-represented groups. We’re disability confident. So 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
  • Benefits you can adapt to your lifestyle, such as discounted shopping
  • 30 days’ holiday, with bank holidays on top
  • A range of wellbeing initiatives and generous parental leave policies

Ready to start growing with purpose? Apply today


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 we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Engineering Lead

Data Engineering Lead

Data Engineering Lead

Engineering Lead - Data Engineering

Engineering Lead - Data Engineering - Schroders

Clinical Data Engineering Lead

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.