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Super Payments is a global fintech platform disrupting payments by offering 0% processing fees for merchants. Founded by Samir Desai (co-founder of Funding Circle) and backed by leading investors including Accel, Union Square Ventures, and Local Globe, the company has raised $66M and is processing at a £1.5B run rate with 4x YoY growth.
As Senior Analytics Engineer, you will architect and evolve Super's modern data analytics platform built on Snowflake, dbt, Looker, and Python. You'll own the full lifecycle of data pipelines and governance, translating raw event streams into a single source of truth for key business metrics.
Key responsibilities include:
**Data Pipelines & Modeling**: Collaborate with product engineers to understand event schemas and build well-governed dbt models in Snowflake. Design dimensional and OBT (One Big Table) models optimized for BI performance and end-user access. Create core data warehouse, data marts, metrics, and reusable datasets.
**Governance & Reliability**: Evolve the semantic layer in Looker to define governed, maintainable metrics. Design and implement robust testing, monitoring, and alerting frameworks to proactively identify pipeline failures. Ensure high data integrity across the transformation layer with robust, maintainable SQL logic.
**Self-Serve & Collaboration**: Drive adoption of self-serve analytics through documentation, training, and enablement. Structure datasets to serve as reliable context for AI agents, optimizing data models for LLM-driven productivity. Partner with Finance, Sales, and Compliance teams to translate requirements into audit-ready, fully reconciled financial datasets.
Required expertise: Expert-level SQL and Snowflake performance optimization; proven experience building and scaling dbt pipelines (incremental loading, macros, late-arriving data); complex semantic layer development in Looker; event-driven and time-series data modeling. You'll work in a fast-moving fintech environment where data and AI drive product decisions and customer value.
