
Senior Data Engineer – Data Foundation, Analytics
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Germany.
• Define and execute foundational data models for users, events, and performance metrics.
• Design and manage resilient, production-level data pipelines.
• Create a unified source of truth for essential business and product metrics.
• Organize data for business and product analysis, including retention metrics, funnels, and activation strategies.
• Develop and deploy data services and jobs on AWS, utilizing tools such as S3, Lambda, ECS/EKS, Glue, Athena, and Redshift.
• Make practical decisions regarding data storage, processing, and accessibility.
• Assess and incorporate tools like BigQuery, Snowflake, and Databricks when beneficial.
• Ensure the architecture can scale alongside product, AI, and data growth without unnecessary complexity.
• Enhance pipelines for scalability, cost-effectiveness, and performance optimization.
• Write clean, maintainable, and well-structured Python code adhering to software engineering best practices.
• Work closely with Product, Engineering, AI, and Business teams.
• Establish CUJU’s technical data-platform foundation.
• Facilitate scalable, reliable, production-ready analytics across the organization.
• Influence the methodology of how data is ingested, processed, and utilized in products.
• Shape player insights, product features, and the long-term data strategy.
• 5–7+ years of professional experience in data-centric roles (data engineering, ML engineering, or similar fields).
• Proficient programming skills in Python, emphasizing clean architecture, testing, and modular design.
• Strong SQL capabilities and experience in designing analytical schemas.
• Practical experience in constructing production data pipelines and services.
• Extensive experience with AWS and cloud-native data architectures.
• Familiarity with CI/CD, monitoring, logging, and deployment processes.
• Comfortable working with imperfect, real-world data and adapting to evolving requirements.
• Experience in dynamic or early-stage environments.
• Excellent communication skills in English.
• Ability to collaborate effectively with cross-functional and international teams.
• Passion for sports, performance analytics, and utilizing data for real-world impact.
• Must be based in Germany.
• No visa support will be provided.
• Become a founding member of a strategic new Data team.
• Contribute to building solutions that transform the sports industry.
• Shape CUJU’s future and influence our growth, product strategy, and innovation.
• Collaborate with international clubs, partners, athletes, and influencers.
• Enjoy creative freedom and agility: take ownership, shape processes, and benefit from quick decision-making.
• Access individual development opportunities.
• Utilize the Masterplan learning platform.
• Gain access to the Wellpass network, which includes a wide array of fitness, sports, and wellness partners.
• Enjoy 30 days of vacation.
• Receive competitive compensation.
• Benefit from corporate perks.
SSC HR Solutions
SSC HR Solutions
Data Elephant
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