Data Engineer (Pharmaceutical, Denmark)

Job summary

The role involves designing, building, and maintaining enterprise-grade data products and pipelines to support reporting, analytics, automation, and AI initiatives within the organization. The position is based in the Global IT's IT Development & Data team, focusing on delivering scalable data solutions.

Qualifications

• Bachelor’s or master’s degree in a relevant field.
• Minimum of 1 year of experience in data engineering.
• Strong skills in Python and SQL.
• Experience with Microsoft Fabric, Azure Synapse Analytics, or similar cloud-based data platforms.
• Hands-on experience with PySpark for processing large-scale datasets.
• Solid understanding of data modeling, data warehousing, and lakehouse architecture.

Responsibilities

• Design, build, and maintain enterprise data pipelines and products.
• Deliver curated datasets and models for analytics and automation.
• Collaborate with business stakeholders and data product owners to develop scalable solutions.
• Operate and enhance the Microsoft Fabric data platform.
• Contribute to data engineering standards and continuous improvement initiatives.

Skills

• Strong collaboration and communication skills.
• Ability to plan and prioritize work effectively.
• Curiosity and a proactive approach to learning new technologies.
• Adaptability to changing priorities and business needs.
• Good cross-cultural understanding with fluency in English.

Tools

• Microsoft Fabric, Azure Synapse Analytics, PySpark.