zilch - Senior Analytics Engineer
Upload My Resume
Drop here or click to browse · PDF, DOCX, DOC, RTF, TXT
Requirements
• 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 • 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 • Professional Memberships. • Learning Suite for e-courses. • Internal Training Programmes. • FCA & Regulatory training.
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 • 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
Benefits
• 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 • 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: • Hybrid Working • Casual dress code. • Workplace socials. • Healthy snacks.
Similar Jobs
No credit card. Takes 10 seconds.