Engineering Lead for data and software engineering at Lloyds Banking Group. Leading teams, driving modernization, and ensuring compliance in a regulated banking environment.
Responsibilities
Lead high‑performing teams: Build psychologically safe teams with strong engineering standards and ownership.
Deliver at scale: Ship reliable services for prudential calculations and regulatory reporting.
Set engineering excellence: Drive CI/CD, testing, code quality, and secure, observable architectures.
Design and run data platforms: Own canonical data models and scalable ETL/ELT pipelines on GCP.
Modernise and enable: Embed governance, modernise legacy analytics safely, and grow engineering capability through coaching.
Requirements
Proven data engineering experience including designing data models, normalisation, and entity relationship for analytics at scale.
Hands-on building ETL/ELT pipelines and orchestrations (ideally Airflow/Cloud Composer) on GCP.
Strong software engineering fundamentals: version control (Git/GitHub), PR discipline, code reviews, automated testing (unit/integration), and CI/CD.
Proficiency in Python for data engineering and service development; writing clean, efficient, well-structured code.
Practical data governance mindset: access controls, lineage, cataloguing, and data quality embedded into delivery.
Experience in a regulated environment (banking/financial services ideal) and familiarity with prudential/regulatory data needs (e.g., Basel III, CRD IV).
People leadership: coaching engineers, setting standards, aligning teams around outcomes, and creating momentum.
Benefits
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
30 days’ holiday, with bank holidays on top
A range of wellbeing initiatives and generous parental leave policies
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