Analytics Engineering Lead – Hybrid Data & ML Focus

Starling; Southampton; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

33 days holiday

Private Medical Insurance

Pension scheme

Cycle to Work

Volunteering time

Gym partnership

Perkbox access

Job summary

Starling is seeking a senior analytics engineering leader to manage and grow a team responsible for the bank's analytics estate. You will collaborate with stakeholders to prioritise business needs and deliver data initiatives that drive risk management, customer insights, and operational excellence.

You will own end-to-end analytics workstreams, mentor engineers, and contribute to governance, data quality, and regulatory reporting in a fast-paced fintech environment.

Qualifications

• Extensive analytics engineering background with expert SQL and data modelling skills.
• Hands-on experience with dbt to build well-structured, tested, and maintainable data models.
• Proficiency with Looker or a comparable BI tool.
• Track record of managing, supporting, and developing analytics engineers.
• Strong project management capabilities, including prioritising incoming work and delivering cross-functional data initiatives.
• Excellent communication and documentation abilities.
• Solid understanding of data governance and risk management.

Responsibilities

• Manage and develop a team of analytics engineers.
• Work closely with stakeholders to understand and prioritise key business needs.
• Own and improve a large analytics estate serving many different business functions.
• Lead and deliver multiple workstreams end-to-end.
• Ensure quarterly priorities are delivered alongside standing work and ad hoc requests.
• Maintain Fraud & AML-related regular reporting.
• Support data science and ML model development and monitoring

Skills

Analytics engineering

SQL

Data modelling

Project management

Communication

Documentation

Stakeholder management

Tools

dbt

Looker

Job description

Starling is seeking a senior analytics engineering leader to manage and grow a team responsible for the bank's analytics estate. You will collaborate with stakeholders to prioritise business needs and deliver data initiatives that drive risk management, customer insights, and operational excellence.

You will own end-to-end analytics workstreams, mentor engineers, and contribute to governance, data quality, and regulatory reporting in a fast-paced fintech environment.