Senior Analytics Engineer - Run & Grow

About the role

You'll be the connective tissue that makes SumUp's data vision real—shaping how data is owned, defined, and built at scale. The Run & Grow Tribe powers the systems, insights, and experiences that keep millions of merchants engaged and growing, and you'll help move from fragmented pipelines to a world-class data foundation built on stable business domains, trusted metrics, and AI-ready data products.

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

What you'll need

• 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

What they offer

• Virtual Stock Option programme to own a stake in SumUp's future success
• Annual L&D budget of €2000 for conferences and further education
• Corporate pension scheme with up to 20% employer match
• 28 days of paid leave plus public holidays and special leave days
• Urban Sports Club subsidy, Kita placement assistance, subsidised office lunches
• 1-month sabbatical after 3 years of service