AI Data Engineer

Overview

Jacobs is seeking an experienced AI Data Engineer to join our team in Krakow as part of the Digital & Data Hub. The role focuses on scalable AI / ML data architectures in cloud environments, integrating large-scale datasets, automating pipelines, and enabling data flow to support advanced machine learning initiatives across the organization.

Responsibilities

• Design, develop, and optimize data architectures that support AI and Machine Learning workflows
• Integrate large-scale datasets from multiple sources to ensure consistency, accessibility, and performance
• Build scalable, automated data pipelines to support real-time and batch data processing
• Utilize cloud-based ETL services (e.g., Glue, Lambda, Data Pipeline or equivalent) to manage data ingestion, transformation, and integration tasks
• Collaborate with data scientists and ML engineers to ensure data infrastructure aligns with AI / ML model requirements
• Monitor and maintain data workflows to ensure reliability, scalability, and cost-efficiency
• Continuously improve data engineering practices to support evolving AI / ML use cases and business needs

Qualifications

Nice to Have

We offer

We are an inclusive employer and support recruitment regardless of age, disabilities, gender identity, race, religion, sexual orientation, or family status. If you require reasonable adjustments in the recruitment process, please contact the team at

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