Data Engineer

Quick Facts

• Role: Data Engineer

Description

Own the end-to-end flow of motion-capture and animation data, building pipelines that produce reliable, traceable, ML-ready datasets. Analyze data quality, anomalies, and progress, and create tools, visualizations, and dashboards so technical and production teams can act on insights. Support dataset preparation and validation for machine-learning training deliveries.

Responsibilities

• Build, automate, and maintain data pipelines to gather and process motion-capture metadata and animation assets

• Analyze data to track anomalies, monitor progress vs. goals, and recommend actions to improve quality and performance

• Create and improve analytical tools that make data easily accessible for directors, production, and technical teams

• Develop visualizations and dashboards that translate complex motion data into actionable insights

• Support the preparation and validation of dataset deliveries for ML training

Requirements

• Proven experience in data engineering and analysis, ideally with machine learning applications

• Strong proficiency in Python for data processing and analysis

• Experience with SQL and NoSQL databases for data extraction and management

• Ability to design and manage data pipelines for smooth data flow

• Experience in building analytical toolsets and visualization dashboards

• Analytical mindset to turn complex data into clear insights

• Excellent communication skills and ability to work with cross-functional teams

• Fluency in English (speaking and writing)

Benefits

• Work with cutting-edge motion capture and AI technologies

• Flexible working hours

• Individual development budget

• Private healthcare

• Multisport card

• Attractive salary based on skills and experience

• Employment contract (umowa o pracę) or other preferred form