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We support flexible working - click here for more information on flexible working options
Flexible Working Options
Job Description Summary
Job Description
JOB TITLE: Engineering Lead - Data, Analytics & AI
SALARY: Β£92,701 - Β£109,060
LOCATION(S): Bristol
HOURS: Full-time/Part-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. 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.
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