XFactor Talent
AI Engineer
- Compensation
- Not disclosed
- Location
- Frankfurt, Germany
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 3+ years experience as a Data Platform Engineer or in a similar role.
- Strong experience with Python and SQL.
- Experience building cloud-based data pipelines.
- Familiarity with AWS data services (S3, Glue, Athena, etc.).
- Experience working with streaming or event-driven data systems.
- Understanding of data modeling and data product design.
- Experience supporting ML workflows and data scientists.
- Strong attention to data quality, validation, and reproducibility.
- Comfortable working with complex multi-system datasets (hardware, sensors, logs, telemetry).
Nice to have
- Experience processing IoT, robotics, or telemetry data.
- Experience with time-series or sensor data pipelines.
- Familiarity with SageMaker or ML data platforms.
- Experience with computer vision datasets or motion tracking systems.
- Experience designing data lakes or lakehouse architectures.
Full description
**Relocation to Germany or Netherlands:Senior AI Solution Engineer with 5+ years of experienceWe notice multiple open positions in Germany and Netherlands, with below skillset. We enable aspiring candidates to unlock their full potential and find opportunity to work in Germany. Apply if your skills are matching and you are interested in investing in yourself and relocate to Germany.
Responsibilities:**
- Design and maintain data pipelines from edge cloud data platform.
- Build ETL pipelines using AWS Glue and cloud-native data services.
- Integrate data streams from event-based edge systems.
- Process and structure motion tracking data from camera-based arena systems.
- Develop and maintain datasets for ML model training and evaluation.
- Build reliable data products and curated datasets for researchers and engineers.
- Support ad-hoc analysis, experimentation, and exploration by data scientists.
- Ensure data quality, observability, lineage, and reproducibility across pipelines.
- Collaborate with embedded, edge, ML, and software teams to ensure high-quality data capture.
- Improve the data infrastructure used to analyze and optimize swarm behavior and system performance.
Your Profile
You enjoy turning complex system data into clean, reliable datasets that power real-world AI systems.
Must-haves:
- 3+ years experience as a Data Platform Engineer or in a similar role.
- Strong experience with Python and SQL.
- Experience building cloud-based data pipelines.
- Familiarity with AWS data services (S3, Glue, Athena, etc.).
- Experience working with streaming or event-driven data systems.
- Understanding of data modeling and data product design.
- Experience supporting ML workflows and data scientists.
- Strong attention to data quality, validation, and reproducibility.
- Comfortable working with complex multi-system datasets (hardware, sensors, logs, telemetry).
Nice-to-haves:
- Experience processing IoT, robotics, or telemetry data.
- Experience with time-series or sensor data pipelines.
- Familiarity with SageMaker or ML data platforms.
- Experience with computer vision datasets or motion tracking systems.