Lead Analytics Engineer
TypeFull-time job
LocationLondon Office
Posted2 hours ago
About Allica Bank
Allica is the UK’s fastest growing company - and the fastest-growing financial technology (Fintech) firm ever. Our purpose is to help established SMEs, one of the last major underserved opportunities in Fintech.
Established SMEs are the backbone of local communities - representing over a third of our economy - yet have been largely neglected both by traditional high street banks and modern fintech providers.
Role Description
The Lead Analytics Engineer owns the design, delivery, and ongoing evolution of the Lending data product on GCP and Looker. This role bridges analytics, data engineering, and business stakeholders to deliver scalable, well-governed data models that support reporting, decision-making, and emerging AI-driven use cases.
The role combines hands-on technical delivery, with leadership of an analytics engineering squad, setting standards for data modelling, validation, and usage across the Lending domain.
Principal Accountabilities
Data Product Ownership
Own and evolve the Lending data model across BigQuery and Looker
Deliver standardised, scalable data models (gold + semantic layers)
Ensure data models accurately reflect lending business logic and requirements
Drive data quality, validation, and consistency across datasets
Technical Leadership
Define and implement best practices for analytics engineering (modelling, naming, documentation, testing)
Lead design and code reviews across the analytics engineering workstream
Act as the subject matter expert on Lending data structures and behaviour
Delivery & Workstream Leadership
Lead the GCP and Looker data workstream, including sprint planning and prioritisation
Translate business requirements into structured engineering tasks and delivery plans
Ensure high-quality and timely delivery of data assets
Stakeholder Engagement
Partner with Lending, Risk, Product, and Engineering teams to define data requirements
Translate business metrics into structured data models and definitions
Provide clarity and guidance on data usage across the organisation
Team Leadership & Development
Provide technical mentorship to analysts and engineers within the Lending squad
Support workload allocation and delivery across the squadlet structure
Contribute to building strong, collaborative ways of working
Strategic Contribution
Lead development of the unified Lending data model, a key strategic initiative
Contribute to building data context (metadata, definitions, relationships) to enable self-serve analytics and GenAI use cases
Support the organisation’s transition to GCP and Looker platforms
Personal Attributes & Experience
Technical
Strong SQL and data modelling experience (BigQuery or similar preferred)
Experience working with BI semantic layers (Looker preferred)
Proven ability to design and deliver scalable data models
Domain & Problem Solving
Strong understanding of data flows across complex systems (particularly lending or financial services)
Ability to translate business requirements into technical solutions
Structured, engineering-led approach to problem solving
Leadership
Experience leading technical workstreams or projects
Ability to mentor and develop team members
Strong ownership mindset and ability to operate independently
Scope & Impact
Owns the Lending data product (GCP + Looker)
Leads analytics engineering delivery for Lending
Plays a critical role in enabling reporting, risk management, and strategic analytics across the bank
#LI-AD1
Working at Allica Bank
At Allica Bank we want to ensure our employees have the right tools and environment in which to succeed in their role and in support of our customers.
Our employees are at the heart of everything we do, so our benefits are designed with you in mind:
Full onboarding support and continued development opportunities
Options for flexible working
Regular social activities
Pension contributions
Discretionary bonus scheme
Private health cover
Life assurance
Family friendly policies including enhanced Maternity & Paternity leave
Don’t tick every box?
Don’t worry if you don’t have all the skills or requirements listed on the job description. If you think you’ll be a good fit, we’d still love to hear from you!
Flexible working
We know the ‘9-to-5’ isn’t right for everyone. That’s why Allica Bank is fully committed to flexible and hybrid working. Please let us know what is best for you and, if we can, we will do our best to accommodate.
Diversity
We’re a diverse bunch here at Allica, with all kinds of experiences, backgrounds and lifestyles. Our openness and differences make us stronger, and we want everybody to feel comfortable bringing as much of themselves to work with them as they like.
Find Jobs in United Kingdom on Arbeitnow
Allica is the UK’s fastest growing company - and the fastest-growing financial technology (Fintech) firm ever. Our purpose is to help established SMEs, one of the last major underserved opportunities in Fintech.
Established SMEs are the backbone of local communities - representing over a third of our economy - yet have been largely neglected both by traditional high street banks and modern fintech providers.
Role Description
The Lead Analytics Engineer owns the design, delivery, and ongoing evolution of the Lending data product on GCP and Looker. This role bridges analytics, data engineering, and business stakeholders to deliver scalable, well-governed data models that support reporting, decision-making, and emerging AI-driven use cases.
The role combines hands-on technical delivery, with leadership of an analytics engineering squad, setting standards for data modelling, validation, and usage across the Lending domain.
Principal Accountabilities
Data Product Ownership
Own and evolve the Lending data model across BigQuery and Looker
Deliver standardised, scalable data models (gold + semantic layers)
Ensure data models accurately reflect lending business logic and requirements
Drive data quality, validation, and consistency across datasets
Technical Leadership
Define and implement best practices for analytics engineering (modelling, naming, documentation, testing)
Lead design and code reviews across the analytics engineering workstream
Act as the subject matter expert on Lending data structures and behaviour
Delivery & Workstream Leadership
Lead the GCP and Looker data workstream, including sprint planning and prioritisation
Translate business requirements into structured engineering tasks and delivery plans
Ensure high-quality and timely delivery of data assets
Stakeholder Engagement
Partner with Lending, Risk, Product, and Engineering teams to define data requirements
Translate business metrics into structured data models and definitions
Provide clarity and guidance on data usage across the organisation
Team Leadership & Development
Provide technical mentorship to analysts and engineers within the Lending squad
Support workload allocation and delivery across the squadlet structure
Contribute to building strong, collaborative ways of working
Strategic Contribution
Lead development of the unified Lending data model, a key strategic initiative
Contribute to building data context (metadata, definitions, relationships) to enable self-serve analytics and GenAI use cases
Support the organisation’s transition to GCP and Looker platforms
Personal Attributes & Experience
Technical
Strong SQL and data modelling experience (BigQuery or similar preferred)
Experience working with BI semantic layers (Looker preferred)
Proven ability to design and deliver scalable data models
Domain & Problem Solving
Strong understanding of data flows across complex systems (particularly lending or financial services)
Ability to translate business requirements into technical solutions
Structured, engineering-led approach to problem solving
Leadership
Experience leading technical workstreams or projects
Ability to mentor and develop team members
Strong ownership mindset and ability to operate independently
Scope & Impact
Owns the Lending data product (GCP + Looker)
Leads analytics engineering delivery for Lending
Plays a critical role in enabling reporting, risk management, and strategic analytics across the bank
#LI-AD1
Working at Allica Bank
At Allica Bank we want to ensure our employees have the right tools and environment in which to succeed in their role and in support of our customers.
Our employees are at the heart of everything we do, so our benefits are designed with you in mind:
Full onboarding support and continued development opportunities
Options for flexible working
Regular social activities
Pension contributions
Discretionary bonus scheme
Private health cover
Life assurance
Family friendly policies including enhanced Maternity & Paternity leave
Don’t tick every box?
Don’t worry if you don’t have all the skills or requirements listed on the job description. If you think you’ll be a good fit, we’d still love to hear from you!
Flexible working
We know the ‘9-to-5’ isn’t right for everyone. That’s why Allica Bank is fully committed to flexible and hybrid working. Please let us know what is best for you and, if we can, we will do our best to accommodate.
Diversity
We’re a diverse bunch here at Allica, with all kinds of experiences, backgrounds and lifestyles. Our openness and differences make us stronger, and we want everybody to feel comfortable bringing as much of themselves to work with them as they like.
Find Jobs in United Kingdom on Arbeitnow
Apply on Arbeitnow →
Job sourced from Arbeitnow. Applications happen directly on the original platform — we never collect your data.