Data Engineer

Role Overview

As a Data Engineer, you will build and operate the data foundation that enables analytics and AI across the organization. You will design, develop, and maintain scalable data pipelines and ensure that data from various source systems is reliably integrated and accessible.

What You Will Do

Design, develop, and maintain scalable data pipelines for data ingestion, processing, and transformation. Integrate data from multiple source systems. Ensure data quality, consistency, and reliability across the data platform.

Why It Might Be a Fit

Opportunity to build and shape a modern data platform from the ground up. Work in a global industrial environment with real-world impact. Close collaboration with Data & AI teams and business units.

Requirements

• Degree in Computer Science, Engineering, or a related field
• Several years of experience in data engineering or software engineering
• Strong programming skills (e.g., Python, SQL)
• Experience with data integration and pipeline development
• Familiarity with modern data architectures (data warehouse, data lake, lakehouse)
• Experience with cloud-based data platforms (e.g., GCP, AWS, Azure) is a plus
• Understanding of data quality and monitoring concepts
• Experience with version control and CI/CD pipelines
• Strong problem-solving skills and attention to detail
• Ability to work in cross-functional teams

Benefits

• Opportunity to build and shape a modern data platform from the ground up
• Work in a global industrial environment with real-world impact
• Close collaboration with Data & AI teams and business units
• High degree of ownership and responsibility
• A dynamic environment with room for innovation and growth