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Senior Analytics Engineer - Run & Grow

SSumUp
Seniority
Senior
Model
In-Office
Sector
Fintech
Salary
Undisclosed
Contract
Full-Time

As our Analytics Engineer, you'll be the connective tissue that shapes how data is owned, defined, and built at scale across SumUp. You'll partner with squads to build a world-class data foundation with 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

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 and solid command of dbt
  • Ability to think in terms of business domains — translating complex business logic into clean, durable, and reusable data models
  • Comfort working across squads with Product Managers, Engineers, Analysts, and Data Scientists, contributing to data design conversations
  • Deep care for data quality, trust, and discoverability — building models others can rely on with proactive mindset around contracts and observability

What they offer

  • Virtual Stock Option programme
  • Annual L&D budget of €2000
  • Corporate pension scheme with up to 20% matching
  • 28 days paid leave plus public holidays
  • 1-month sabbatical after 3 years of service
  • Urban Sports Club subsidy, Kita placement assistance, subsidised office lunches
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