Senior Analytics Engineer – Run & Grow

Responsibilities

We are representing a confidential fintech organization seeking a Senior Analytics Engineer to join their team in Berlin. In this role, you will:

• Partner with cross-functional squads on event design and data contracts, maintaining staging pipelines, applying modeling conventions, and ensuring domain outputs remain 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 organization
• 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 optimizations, and scalable data architecture to support growing data volumes
• Contribute to the broader data domain strategy, helping establish durable ownership, consistent definitions, and a shared catalog of data products that unlock self-serve analytics and AI at scale

What We're Looking For

• 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 optimization, with hands-on experience building layered data models in a modern data warehouse or lakehouse (e.g., Snowflake, Iceberg)
• Solid command of dbt, including testing, documentation, and modeling 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

How We Work With You

Our talent team at Get A Job.ai will guide you through the entire process. First, you'll apply through our platform at getajob.ai. One of our experienced recruiters will then screen your application and conduct an initial conversation to understand your background and career goals. Once we confirm you're a strong match, we'll submit your profile to our client for consideration. Please note that direct contact with the client is not permitted during the recruitment process—all communication will flow through Get A Job.ai to ensure a smooth and professional experience.

Pay

Compensation details will be discussed during the screening process with our recruiting team.

Equal Employment Opportunity

Get A Job.ai is committed to fostering an inclusive recruitment process. We welcome applications from candidates of all backgrounds and do not discriminate on the basis of race, color, religion, national origin, gender, sexual orientation, disability, age, or any other protected characteristic.