Principal Data Engineer (MedTech, Copenhagen)

Job summary

The role involves leading the development and transformation of a data platform that supports analytics, AI, and data-driven decision-making within a MedTech company. The Principal Data Engineer will shape the technical direction of the Databricks platform, ensuring scalability and governance to meet organizational needs.

Qualifications

• Several years of experience in designing, building, and operating modern cloud-based data platforms, ideally in large organizations or consulting environments.
• Degree in Computer Science, Data Engineering, Software Engineering, or a related field.
• Strong experience with cloud-based data platforms and technologies, preferably Azure Databricks, Apache Spark, and Delta Lake.
• Solid software engineering skills in Python, SQL, CI/CD, and Infrastructure as Code.
• Experience in establishing scalable platform architectures and governance frameworks.
• Strong communication and stakeholder management skills.
• Collaborative leadership style with experience in federated environments.
• Passion for data, AI, and digital transformation.

Responsibilities

• Lead the transformation of the Databricks platform into an AI-ready foundation.
• Define and evolve enterprise-wide standards for data platform architecture and governance.
• Enable and guide domain data teams through technical leadership and best practices.
• Contribute hands-on to development and drive platform consistency.
• Drive planning and prioritization across the data lifecycle.
• Optimize platform operations and governance of Databricks usage.
• Identify and drive adoption of new platform capabilities and AI technologies.
• Promote a culture of data excellence and improve data literacy across the organization.

Skills

• Strong technical and software engineering skills.
• Excellent communication and stakeholder engagement abilities.
• Leadership and collaboration skills in a diverse environment.

Education

• Degree in Computer Science, Data Engineering, Software Engineering, or a related field.

Tools

• Azure Databricks, Apache Spark, Delta Lake, Python, SQL, CI/CD tools, Infrastructure as Code.