Senior Data Engineer | Senior Data Engineer (m/f/d)
Agile Robots SE
Job Summary
This Senior Data Engineer role is for an experienced professional passionate about building and architecting robust data infrastructure for AI and machine learning models. You will be instrumental in designing and implementing scalable ETL/ELT pipelines, ingesting and transforming large-scale, often unstructured data from diverse sources. Working closely with data science and machine learning teams, you will ensure high-quality, reliable data for model training, feature engineering, and inference. The position involves contributing to the architectural evolution of data lakes, feature stores, and data warehouses, optimizing them for high-performance ML workloads. This is a critical opportunity for someone excited by cutting-edge AI data challenges, offering a chance to lead, mentor, and shape the future of robotics.
Required Skills
Education
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field
Experience
- 5+ years of professional experience in data engineering
- At least 2 years in an environment focused on supporting machine learning or AI
- Proven experience working with multimodal datasets
- Hands-on expertise with data versioning tools
- Hands-on experience with at least one major cloud platform
- Experience with Docker and container orchestration platforms (Kubernetes)
- Experience building automated CI/CD pipelines for data and ML-related code
- Leadership experience (beneficial)
- Experience building a team (beneficial)
Languages
Additional
- Not specified
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