Data Engineer

Quick Facts

• Role: Data Engineer
• Focus: ML-powered image analysis platform for automated defect detection and quality control
• Work mode: Fully remote, in-office, or hybrid

Description

You will help develop and enhance an image analysis platform that automates defect detection and enables objective quality assessments in electroplating and surface finishing. You will design data structures and implement database schemas and ML pipeline data flows, ensuring end-to-end traceability from image inputs to model results and final pass/fail decisions. You will also integrate and synchronize data between on-premise tools and AWS, with data quality checks and documentation.

Responsibilities

• Design data structures for reference data, image metadata, intermediate/inference results, and pass/fail decisions
• Ensure traceability from image to model result to final decision
• Evaluate and implement whether to extend an existing database or use a separate data store
• Implement database schema and data flows for the ML pipeline
• Implement data integration and synchronization between on-premise tools and AWS
• Add data quality checks and validation rules
• Document data models and data flows

Benefits

• Mentoring and onboarding for professional growth
• Opportunity for professional, financial, and career development
• Additional annual bonus (up to 1,000 EUR/month depending on expertise)
• Corporate training portal with regularly updated knowledge base
• Certification compensation (e.g., AWS, PMP)
• Private health insurance and sports compensation (depending on employment type)
• Referral program
• Flexible work: remote, office, or hybrid