Data Engineer (Supply Chain, Viby)

Job summary

This role involves building scalable data solutions that enhance Supply Chain decision-making within a global organization. You will be part of an Advanced Analytics team focused on co-creating data-driven solutions and continuously improving data usage across various business functions.

Qualifications

• Hands-on experience with Azure data services (e.g., Databricks, Data Lake, Synapse, Azure SQL, Data Factory, Azure Data Explorer)
• Good understanding of Azure as a platform
• Solid experience with data systems, analytics, and databases
• Proficiency in SQL and working knowledge of relational databases
• Basic to intermediate knowledge of Python
• Familiarity with data modeling and data pipeline technologies
• Experience with Git and branching strategies
• Understanding of CI/CD pipelines and deployments
• Experience collaborating with business stakeholders for requirements gathering and alignment

Responsibilities

• Build and maintain end-to-end data pipelines, including ingestion, transformation, and delivery
• Implement enhancements to improve functionality and performance of data solutions
• Provide technical feedback and drive improvements to operational practices
• Lead and coordinate User Acceptance Testing (UAT) and Performance Acceptance Testing (PAT) with business stakeholders
• Share and document knowledge to support team development and scalability

Skills

• Strong analytical and collaboration skills
• Excellent communication skills, capable of bridging technical and business perspectives
• Curiosity about data and its business implications
• Motivation to understand how solutions create value

Education

• Relevant educational background in IT, Data Engineering, or related fields

Tools

• Azure data services, SQL, Python, Git, CI/CD tools