Senior Data Engineer
Posted 18hrs ago
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Job Description
Senior Data Engineer building AWS data pipelines and services for a sports-tech platform. Processing AI-generated performance data into scalable metrics, rankings, and talent insights.
Responsibilities:
- Define and implement core data models for users, events, and performance
- Design and operate robust, production-grade data pipelines
- Establish a single source of truth for key business and product metrics
- Structure data for retention, funnel, activation, and other business and product analyses
- Build and deploy data services and jobs on AWS, including S3, Lambda, ECS/EKS, Glue, Athena, and Redshift
- Make pragmatic decisions about data storage, processing, and access
- Evaluate and introduce tools such as BigQuery, Snowflake, and Databricks where valuable
- Ensure architecture scales with product, AI, and data growth without overengineering
- Optimize pipelines for scalability, cost efficiency, and performance
- Write clean, maintainable, well-structured Python code following software engineering best practices
- Collaborate with Product, Engineering, AI, and Business teams
Requirements:
- 5–7+ years of professional experience in data-heavy roles (data engineering, ML engineering, or similar)
- Strong programming skills in Python, including clean architecture, testing, and modular design
- 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 CI/CD, monitoring, logging, and deployments
- Comfort working with imperfect, real-world data and evolving requirements
- Experience working in fast-paced 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 leveraging data for real-world impact
Benefits:
- Work from wherever you are; professionals worldwide
- Flexible remote working conditions
- Exciting projects across industries
- Continuous learning and development opportunities
- Hands-on experience
- Collaboration with a diverse, cross-cultural team
















