Senior Analytics Engineer developing scalable data products for finance at Zopa. Evolving technical direction and mentoring engineers in high-impact modeling initiatives.
Responsibilities
Evolve the technical direction for Analytics Engineering in partnership with the Head of AE
Develop scalable modelling patterns aligned to our data mesh and domain-based ownership approach
Raise engineering standards across testing, CI/CD, documentation, version control and code review
Lead by example in applying data governance and risk standards across all data products
Design and build robust, production-grade, cost-efficient dbt models for high-impact domains
Own modelling strategy for key business areas, ensuring consistency, maintainability, and scalability
Optimise data marts for performance, reliability and long-term growth
Break down complex domain problems into scalable data products
Evaluate trade-offs between cost, performance, maintainability and delivery speed
Take end-to-end ownership of high-impact modelling initiatives
Partner with product teams and domain owners to translate business needs into clean, well-documented data models
Ensure cross-domain consistency and reusability of shared entities
Advocate for domain ownership and clear data contracts
Simplify overly complex modelling areas and reduce unnecessary warehouse costs
Mentor Analytics Engineers and Analysts, helping them deepen their modelling and engineering expertise
Provide high-quality, empathetic and actionable code reviews
Share knowledge at scale through documentation, technical sessions or playbooks
Requirements
Significant experience as a Senior or Lead Analytics Engineer
Demonstrable experience setting technical standards or shaping modelling practices
Strong expertise in SQL and building production-grade, cost-efficient dbt models
Experience working in modern cloud data environments
Strong understanding of data governance and risk considerations
Experience working cross-functionally in product-led environments
Solid understanding of CI/CD, Git-based workflows, and version-controlled deployments
Benefits
Flexible ways of working
Option of working from abroad for up to 120 days a year
Junior Analytics Engineer at Ninox developing dashboards and improving data models. Collaborate across teams to support data - driven business decisions.
Lead Analytics Engineer at Perk enhancing data capabilities for a travel management platform. Drive team to implement standards and ensure data solutions are scalable and cost - efficient.
Analytics Engineer responsible for deploying data models and transforming datasets at Moneyfarm. Collaborating across teams in a fintech environment to enhance data - driven decision - making.
Database Administrator & ETL Developer optimizing data infrastructure for eSimplicity to support government agencies. Responsible for database reliability, performance, and developing ETL pipelines in a hybrid work environment.
Analytics Engineer in FinTech Data Science team ensuring data accuracy and usability. Transforming raw data into reliable models for business monitoring and insights.
Analytics Engineer developing and maintaining data models to support strategic decisions in Hostinger. Revolutionizing data use to enhance business insights and accessibility.
Data Engineer at Regions Bank focusing on designing and maintaining data structures for analytics. Collaborating with technical teams to deliver data - driven business value and products.
Analytics Engineer shaping Statista's reporting platform for data - driven decision - making. Focusing on BI tools like Power BI and improving report usability and transparency.
Director of Data & Analytics leading data strategy for Reach Financial, enhancing decision - making through a data - driven culture. Guiding a team to innovate and implement scalable data solutions.
Data Scientist creating scalable insights from unstructured data at AI safety company. Collaborating with engineering and research teams in a hybrid Paris location.