Senior Analytics Engineer - Run & Grow

United States Digital Space LLC; Berlin; Vor Ort; EUR 60.000 - 85.000; Vollzeit

Benefits dieser Stelle

Virtual Stock Option programme

Annual L&D budget of €2000

Corporate pension scheme

28 days of paid leave

Urban Sports Club subsidy

1-month sabbatical after 3 years

Zusammenfassung

United States Digital Space LLC is looking for an Analytics Engineer to shape and support our world-class data foundation in Berlin. In this role, you will partner with various teams to ensure data quality and build reliable data products that are essential for business operations.

This position offers extensive opportunities for professional development, a commitment to diversity, and numerous benefits including a stock option program and generous time off.

Qualifikationen

• Strong experience in analytics engineering or data engineering.
• Expert SQL skills for complex transformations and query optimization.
• Ability to think in terms of business domains and translate complex logic.
• Comfortable working with Product Managers, Engineers, Analysts, and Data Scientists.
• Strong focus on data quality and discoverability.

Aufgaben

• Partner across squads on event design and data contracts.
• Model key business domains and build quality-assured data products.
• Build and maintain insights layer for Product, Commercial, and AI teams.
• Implement technical improvements for data volume support.
• Contribute to broader data domain strategy.

Kenntnisse

Analytics engineering

Data engineering

SQL

Data modelling

Cross-team collaboration

Data quality assurance

Tools

Snowflake

dbt

Iceberg

Jobbeschreibung

The Run & Grow Tribe of Tribes powers the systems, insights, and experiences that keep millions of merchants engaged, successful, and growing with the company 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 the company'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 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

Why you should join the company

• Opportunity to work with SumUppers globally on large‑scale fintech products used by millions of businesses worldwide, from our Berlin office. This involves an office‑first setup
• Commitment to Diversity and Inclusion: be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced
• Enrolment onto our Virtual Stock Option programme: you will own a stake in the company's future success
• A dedicated annual L&D budget of €2000 for your individual development, which can be used to attend conferences and/or advance your career through further education
• A corporate pension scheme where we match up to 20% of your contributions
• Generous time off: enjoy 28 days of paid leave plus public holidays and special leave days
• Numerous other benefits such as Urban Sports Club subsidy, Kita placement assistance, subsidised office lunches
• Break4me: 1‑month sabbatical after 3 years of service
• Referral Bonus: earn additional rewards by referring talented individuals to join the company team

the company is proud to be an Equal Employment Opportunity employer, actively seeking and embracing diversity in our workforce. We don't make hiring or employment decisions based on race, colour, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable laws or prohibited by company policy. Our commitment extends beyond recruitment to creating a safe and respectful workplace where harassment of any form is strictly prohibited. Discover more about our culture and opportunities on our careers website, and follow our journey on LinkedIn, Instagram, and TikTok.