Analytics Engineering Lead - Data & ML Systems

Remote Worker LTD.; Manchester; Hybride; GBP 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

33 days holiday

Birthday day off

Pension scheme

Private Medical Insurance with Vitalty

Cycle to Work

EV leasing

Perkbox membership

Résumé du poste

Starling Bank, the UK's leading digital bank, seeks an experienced analytics engineering leader to drive a high-performing team, shape a scalable analytics estate, and partner with stakeholders to deliver critical data initiatives.

You will mentor engineers, own end-to-end data projects, and advocate best practices in governance, reliability, and collaboration within a hybrid-working environment.

Qualifications

• Extensive analytics engineering background with expert SQL and data modelling.
• Hands-on experience with dbt (or similar framework) 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.

Responsabilités

• 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

Connaissances

SQL

Data modelling

dbt

Looker

Leadership

Project management

Communication

Data governance

Outils

dbt

Looker

Git

CI/CD

Description du poste

Starling Bank, the UK's leading digital bank, seeks an experienced analytics engineering leader to drive a high-performing team, shape a scalable analytics estate, and partner with stakeholders to deliver critical data initiatives.

You will mentor engineers, own end-to-end data projects, and advocate best practices in governance, reliability, and collaboration within a hybrid-working environment.