Hybrid Security Data & AI Lead Engineer

Lloyds Banking Group; Wellington; Hybrid; GBP 93,000 - 109,000; Full time

Benefits offered by this job

Generous pension up to 15%

Annual bonus award

Share schemes including free shares

Discounted shopping

30 days’ holiday + bank holidays

Wellbeing initiatives and parental le 

Wellbeing initiatives and parental le

Job summary

Lloyds Banking Group is seeking a Lead Data Engineer to shape and lead the Security Data and AI lab's data engineering capabilities. The role merges deep technical expertise with leadership to deliver high-impact data platforms across a complex enterprise.

You will own data pipelines, drive secure-by-design principles, and enable production-grade data foundations for AI, ML and analytics while collaborating with Security, Cloud, Architecture and Product teams.

Qualifications

• Proven leadership in technical delivery and mentoring.
• Experience building scalable data platforms and pipelines.
• Cloud-native data platforms across Azure, AWS, GCP or similar.
• Strong understanding of data modelling, quality, metadata and governance.
• Ability to balance resilience, pace and long-term maintainability in decisions.
• Experience with CI/CD, automated testing, observability and version control.
• Collaborative across engineering, security, data science and product teams.

Responsibilities

• Shape and lead the lab's data engineering capability, defining strategy and roadmap.
• Own scalable data pipelines and secure-by-design data foundations for AI, machine learning and analytics.

Skills

Leadership

Data platforms

Cloud platforms

Data governance

Decision making

DevOps practices

Cross-functional collaboration

Job description

Lloyds Banking Group is seeking a Lead Data Engineer to shape and lead the Security Data and AI lab's data engineering capabilities. The role merges deep technical expertise with leadership to deliver high-impact data platforms across a complex enterprise.

You will own data pipelines, drive secure-by-design principles, and enable production-grade data foundations for AI, ML and analytics while collaborating with Security, Cloud, Architecture and Product teams.