Engineering Lead – Data, Analytics & AI

LLOYDS BANKING GROUP; West of England; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Pension up to 15%

Annual bonus

Share schemes including free shares

Wellbeing initiatives

30 days holiday + bank holidays

Job summary

Lloyds Banking Group in Bristol is seeking an Engineering Lead – Data, Analytics & AI to shape our data and AI platforms. You’ll lead engineering teams, set architecture direction and drive best practices across data, analytics and GenAI workloads.

The role demands hands-on leadership, collaboration with Product and Architecture, and a track record of delivering scalable data products that create measurable business value.

Qualifications

• Experience designing, building and operating large-scale distributed data platforms and cloud-native architectures.
• Hands-on experience with Python and SQL and modern software engineering practices.
• Experience building large-scale batch and streaming data solutions with Spark, Kafka, Flink or Beam.
• Deep knowledge of data warehouses, data lakes and lakehouse platforms.
• Strong understanding of analytical data modelling, dimensional and semantic modelling.

Responsibilities

• Define and execute the engineering roadmap with Product, Architecture, Data Science and business stakeholders.
• Drive technical strategy and engineering excellence across data, analytics and AI solutions.
• Enable customer intelligence, personalisation, decisioning and conversational AI through modern data products.
• Design and implement reusable data products, semantic models and analytics capabilities for reporting and ML workloads.
• Promote AI Engineering, MLOps and LLMOps across development, deployment, monitoring and governance.
• Champion security, privacy, Responsible AI and governance by design.
• Identify opportunities to improve efficiency, reliability and developer productivity through automation and platform engineering.
• Mentor and develop engineering teams, fostering innovation and engineering excellence.

Skills

Python

SQL

Cloud platforms

Kubernetes

CI/CD

MLOps

GenAI

Data platforms

Tools

Spark

Kafka

Flink

Beam

Job description

Engineering Lead – Data, Analytics & AI

Location: Bristol

Hours: Full-time/Part-time

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. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy.

What you’ll be doing

As an Engineering Lead, you'll combine deep technical expertise with strategic thinking to shape the future of our data and AI ecosystem. You'll lead engineering teams, influence architecture decisions, and drive the adoption of modern data, analytics and AI engineering practices across the organisation.

We're looking for a passionate engineering leader who thrives on solving complex challenges, developing people, and delivering scalable platforms and products that create measurable business value.

In this role you’ll;

• Define and execute the engineering roadmap in partnership with Product, Architecture, Data Science and business stakeholders.
• Drive technical strategy and engineering excellence across data, analytics and AI solutions.
• Enable customer intelligence, personalisation, decisioning and conversational AI use cases through modern data products and data platforms.
• Design and implement reusable data products, semantic models and analytics capabilities that support reporting, machine learning and GenAI workloads.
• Drive adoption of AI Engineering, MLOps and LLMOps best practices across development, deployment, monitoring and governance.
• Champion security, resilience, privacy, Responsible AI and governance by design.
• Identify opportunities to improve efficiency, reliability and developer productivity through automation and platform engineering.
• Mentor, coach and develop engineering teams, fostering a culture of innovation, continuous learning and engineering excellence.

Why join us?

From building a truly sustainable business to creating a place where people love to work, we’re looking for colleagues who are up for the challenge, who love to push boundaries and can make change happen. Sound like you?

What we’re looking for

• Significant experience designing, building and operating large-scale distributed systems, data platforms and cloud-native architectures.
• Hands‑on experience with Python, SQL and modern software engineering practices.
• Experience building large‑scale batch and streaming data solutions using technologies such as Spark, Kafka, Flink, Beam or equivalent.
• Deep knowledge of modern data architectures including data warehouses, data lakes and lakehouse platforms.
• Strong understanding of analytical data modelling, dimensional modelling, semantic modelling and data product design.
• Experience designing data structures and models that support reporting, self‑service analytics, machine learning and AI use cases.
• Understanding of modern GenAI architecture patterns including vector databases, retrieval‑augmented generation (RAG), embeddings, agentic workflows and LLM orchestration frameworks.
• Knowledge of MLOps, model lifecycle management, observability and AI governance practices.
• Experience with cloud platforms such as GCP, Azure or AWS and associated platform services.
• Strong understanding of containers, Kubernetes, CI/CD, infrastructure automation and DevSecOps practices.
• Excellent communication skills with the ability to influence technical and non‑technical audiences.

We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply.

This is a place for you:

Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities, and we’re committed to creating an environment in which everyone can thrive, learn and develop.

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.

We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long‑term health or neurodivergent condition through the Disability Confident Scheme.

We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need.

We also offer a wide-ranging benefits package, which includes:

• 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