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Senior Analytics Engineer

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

About the role

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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