Senior Analytics Engineer
Role details
Job location
Tech stack
Job description
We are seeking an experienced Senior Analytics Engineer to join our growing Data function at a pivotal stage of platform maturity.
This role is central to shaping the next phase of our analytics ecosystem - designing scalable, high-quality decision-making data models, strengthening governance and reliability, and enabling insight-driven decision-making across Product, Risk, Finance, and Commercial teams.
You will operate at the intersection of modelling architecture, workflow reliability, and technical standards, working closely with Data Analysts, Data Engineering, Data Science, Software Engineering, and senior business stakeholders.
This is a hands-on senior individual contributor role with meaningful influence over our data architecture and engineering culture.
If you are excited by building clean, scalable analytics systems in a fast-moving fintech environment - and want real ownership rather than narrow ticket execution - this role is for you.
Day-to-day responsibilities.
Domain Ownership & Analytics Modelling:
- Own modelling architecture for one or more business domains, ensuring scalability, clarity, and long-term maintainability
- Design, build, and evolve high-quality dbt models and analytics-ready data marts
- Translate complex business and product requirements into robust, well-documented transformation logic
- Establish and enforce modelling standards, naming conventions, and domain boundaries
- Drive Snowflake performance optimisation and cost governance initiatives
- Lead structured refactoring initiatives to reduce technical debt and improve maintainability
Workflow, Orchestration & Reliability:
- Design and maintain Airflow DAGs and alerting frameworks (Dag Factory) to ensure reliable data workflows
- Own operational reliability for analytics pipelines, including incident response and SLA adherence
- Improve orchestration patterns, documentation standards, and monitoring practices
- Collaborate with Data Engineering to maintain clear separation between infrastructure ownership and analytics layer responsibilities
Governance, Security & CI/CD:
- Contribute to secure data access design and role-based access control (RBAC) frameworks
- Improve and maintain CI/CD processes for analytics workflows, ensuring safe and automated deployments
- Implement automated linting, testing, and code review standards to elevate engineering quality
- Strengthen lineage, documentation, and semantic governance across dbt and BI tooling
- Partner with stakeholders to ensure data definitions are consistent, trusted, and audit-ready
Technical Leadership & Engineering Culture:
- Provide senior technical leadership through structured code reviews, peer learning sessions, and documentation practices
- Mentor Analytics Engineers and Analysts transitioning into engineering-focused roles
- Act as a modelling and data architecture subject matter expert within the organisation
- Champion best practices in SQL, dbt, version control, and scalable analytics design
Cross-Functional Systems Design:
- Partner on strategic initiatives across Product, Risk, and Finance analytics infrastructure
- Ensure analytics considerations are embedded early in architectural decisions
- Influence how new systems integrate into the broader data platform
Requirements
Do you have experience in SQL?, * 4+ years in Analytics Engineering, Data Engineering, or advanced Analytics roles
- Strong expertise in SQL and modern data modelling principles
- Strong expertise in dbt and advanced dbt concepts
- Strong experience working with Snowflake (or comparable cloud data warehouse)
- Experience building and maintaining orchestration workflows
- Solid understanding of CI/CD, Git-based workflows, and version-controlled deployments
- Experience designing secure data access models and governance controls
- Ability to communicate clearly with technical and non-technical stakeholders
Desirable Skills & Experience:
- Experience in fintech, payments, lending, or regulated environments
- Exposure to experimentation frameworks and product analytics ecosystems
- Experience driving cost optimisation in Snowflake environments
- Familiarity with Looker or other semantic BI layers
- Experience collaborating with Data Science teams to enable ML workflows
What Success Looks Like:
- Clearly defined data marts with trusted definitions
- Reduced technical debt and improved modelling consistency
- Measurable Snowflake cost efficiency improvements
- Fewer pipeline incidents and improved operational reliability
- Strong documentation and peer-reviewed engineering culture
- Trusted partnership with Product, Risk, and Finance teams
Benefits & conditions
Pulled from the full job description
- Employee discount
- Company pension
- Private medical insurance
- Casual dress
- Work from home
- Discounted gym membership, * Shape the analytics foundation of a scaling fintech platform
- Influence architectural decisions rather than simply implementing tickets
- Work on commercially critical systems at the core of the business
- Join a team that values engineering quality, ownership, and clarity, Compensation & Savings:
- Pension scheme.
- Death in Service scheme.
- Income Protection.
- Permanent employees enjoy access to our Share Options Scheme.
- 5% back on in-app purchases.
- £200 for WFH Setup.
Health & Wellbeing:
- Private Medical Insurance including;
- GP consultations (video, telephone or face-to-face).
- Prescribed medication.
- In-patient, day-patient and out-patient care.
- Mental health support.
- Optical, dental & audiological cover.
- Physiotherapy.
- Advanced cancer cover.
- Menopause support.
- Employee Assistance Programme including:
- Unlimited mental health sessions.
- 24/7 remote GP & physiotherapy.
- 24/7 helpline for emotional & practical support.
- Savings & discounts on everyday shopping.
- 1:1 personalised well-being consultations.
- Gym membership discounts.
Family Friendly Policies:
- Enhanced maternity pay.
- Enhanced paternity pay.
- Enhanced adoption pay.
- Enhanced shared parental leave.
Learning & Development:
- Professional Qualifications.
- Professional Memberships.
- Learning Suite for e-courses.
- Internal Training Programmes.
- FCA & Regulatory training.
Workplace Perks:
- Hybrid Working
- Casual dress code.
- Workplace socials.
- Healthy snacks.
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