Senior Data Engineer - Data Foundation & Analytics
New
C
CUJUSports Technology
Remote (Germany-based)Full-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 5-7+ years
- Required Skills
- AWSPythonSQLData engineeringCI/CD
Requirements
- 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).
- 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.
- Excellent communication skills in English.
- Passionate about sports and performance analytics.
Responsibilities
- Define and implement core data models (users, events, performance).
- Design and operate robust, production-grade data pipelines.
- Establish a single source of truth for key business and product metrics.
- Structure data for business and product analysis (retention, funnels, activation).
- Build and deploy data services and jobs on AWS (e.g. S3, Lambda, ECS/EKS, Glue, Athena, Redshift, etc.).
- Make pragmatic decisions on how data is stored, processed, and accessed.
- Evaluate and introduce tools (e.g. BigQuery, Snowflake, Databricks) where they add clear value.
- Ensure the architecture scales with product, AI, and data growth without overengineering.
- Optimize pipelines for scalability, cost efficiency, and performance.
- Write clean, maintainable, and well-structured Python code following software engineering best practices.
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