Senior Data Engineer - Data Foundation & Analytics (m/f/d)
RemoteGermany
EXPIREDGermanyRemoteFull TimeSenior Level
Full TimeSenior Level
Job Summary
Define and implement core data models for users, events, and performance metrics. Design and operate robust, production-grade data pipelines on AWS services including S3, Lambda, ECS/EKS, Glue, Athena, and Redshift. Establish a single source of truth for key business and product metrics while structuring data for retention, funnel, and activation analysis. Build and deploy data services and jobs, optimizing pipelines for scalability, cost efficiency, and performance. Write clean, maintainable Python code and collaborate closely with Product, Engineering, AI, and Business teams to shape data ingestion, processing, and usage from day one.
Required Qualifications
- 5-7+ years of professional experience in data-heavy roles (data engineering, ML engineering, or similar)
- Strong programming skills in Python (clean architecture, testing, modular design not just scripts)
- Solid SQL skills and experience designing analytical schemas
- Hands-on experience building production data pipelines and services
- Strong experience with AWS and cloud-native data architectures
- Familiarity with infrastructure concepts (CI/CD, monitoring, logging, deployments)
- Comfortable working with imperfect, real-world data and evolving requirements
- Experience working in fast-paced or early-stage environments
- You understand that data work is software engineering
- Excellent communication skills in English, with the ability to effectively collaborate with cross-functional and international teams
Desired Qualifications
- Passionate about sports, performance analytics, and leveraging data to make a real-world impact
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.