KeyStep

Senior Analytics Engineer

SumUp
Berlin, Germany
about 4 hours ago
full-time

Skills & Technologies

Data EngineeringSOLIDSQLData WarehouseSnowflakeStrategyProduct AdoptionAI

Job Description

The Run & 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.

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 d

Company & Role Analysis

JobSeeker+
Likely perks
Private MedicalPension25+ Days HolidayStock OptionsLearning BudgetFlexible Hours
Culture & working style

Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.

Market salary range

£45,000 – £60,000 (Glassdoor, Levels.fyi, 2025)

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