<div data-testid="markdown-response"> <div> <p id="message">The Run &amp; Grow Tribe of Tribes powers the systems, insights, and experiences that keep millions of merchants engaged, successful, and growing with SumUp across every market we operate in. We're at a genuine inflection point in how we use data, moving from fragmented pipelines to a world-class data foundation built on stable business domains, trusted metrics, and AI-ready data products. This is a greenfield opportunity to shape how data is owned, defined, and built at scale, and as our Analytics Engineer, you'll be the connective tissue that makes that vision real.</p> </div> </div> <div data-testid="markdown-response"> <div> <h2>What you'll do</h2> </div> </div> <div data-testid="markdown-response"> <div> <ul> <li>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</li> <li>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</li> <li>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</li> <li>Implement technical improvements including incremental processing strategies, performance optimisations, and scalable data architecture to support growing data volumes</li> <li>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</li> </ul> </div> </div> <div data-testid="markdown-response"> <div> <h2>You'll be great for this role if…</h2> </div> </div> <div data-testid="markdown-response"> <div> <ul> <li>Strong, proven experience in analytics engineering or data engineering, with a track record of building and maintaining production data systems</li> <li>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</li> <li>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</li> <li>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</li> <li>Deep care for data quality, trust, and discoverability, building models others can rely on, with a proactive mindset around contracts, freshness,