Senior Analytics Engineer - Run & Grow

What you'll do

• Partner with squads across the tribe on event design and data contracts, maintaining staging pipelines, applying modelling conventions, and keeping domain outputs consistent, tested, and discoverable

• Model key business domains, including merchant activity, product adoption, lifecycle events, and risk scoring, building well-documented, quality-assured data products that serve as the trusted source of truth across the organisation

• Build and maintain the insights layer on top of governed domains, producing reusable KPI models, funnels, cohorts, and segmentations that Product, Commercial, and AI teams can self-serve with confidence

• Implement technical improvements including incremental processing strategies, performance optimisations, and scalable data architecture to support growing data volumes

• Contribute to SumUp's broader data domain strategy, helping establish durable ownership, consistent definitions, and a shared catalogue of data products that unlock self-serve analytics and AI at scale

You'll be great for this role if…

• Strong, proven experience in analytics engineering or data engineering, with a track record of building and maintaining production data systems

• Expert-level SQL skills for complex transformations and query optimisation, with hands-on experience building layered data models in a modern data warehouse or lakehouse (e.g. Snowflake, Iceberg) and solid command of dbt, including testing, documentation, and modelling conventions

• Ability to think in terms of business domains, not just tables, translating complex business logic into clean, durable, and reusable data models across entities, events, states, and rules

• Comfort working across squads with Product Managers, Engineers, Analysts, and Data Scientists, contributing to data design conversations and helping teams treat data as a first-class deliverable

• Deep care for data quality, trust, and discoverability, building models others can rely on, with a proactive mindset around contracts, freshness, observability, and failure scenarios