Senior Data Engineer for Schneider Electric

Senior Data Engineer – Join Schneider Electrics Innovative Analytics Team in Kolding

Are you passionate about leveraging your expertise in data engineering and software development to drive sustainable solutions?

Do you thrive in roles that require not just theoretical knowledge but practical, hands-on application?

If so, we invite you to read more about the Senior Data Engineer position within Schneider Electrics dynamic Analytics team in Kolding.

About the Role:

In this senior role, you will be instrumental in shaping the data landscape of their leading Datacenter Infrastructure Management (DCIM) product. You'll drive the development and deployment of advanced machine learning models, ensuring they seamlessly transition from ideas on at notebooks to feature-rich enterprise environments.

This is not just a job about strong mathematics; it's about applying that knowledge to build, scale, and integrate real-world solutions that impact their industry-leading platforms.

Key Responsibilities:

  • Architect and develop scalable machine learning models and data pipelines, transitioning from insights to enterprise-grade productisation
  • Ensure robust integration of ML models within their cloud-based platforms, focusing on real-time data processing and low-latency solutions
  • Collaborate closely with their Java engineers, contributing to a cohesive and innovative product development environment
  • Drive the automation of data processes, emphasizing efficiency and scalability in an enterprise setting
  • Mentor and guide a diverse team, sharing your expertise to foster a culture of technical excellence and innovation

Qualifications:

  • 3-5 years of experience in data engineering, with a significant focus on machine learning and enterprise-level deployment
  • Proficiency in Python and a solid understanding of the Java ecosystem
  • Hands-on experience with big data technologies, particularly Databricks
  • Proven track record in model development, deployment, and scaling in complex IoT systems, handling millions of data points daily
  • Practical experience in transitioning from theoretical model development to real-time, enterprise-level applications
  • Strong understanding of data structures, warehousing, and the ability to deliver insights directly into product development

Schneider Electrics Work Culture:

You will be joining a team of experienced professionals (10, 5, and 3 years with Schneider) and two student workers, all rich in domain knowledge. We value balance and collaboration, offering flexible scheduling and a hybrid office-home setup. Team members typically spend 2-3 days in the office, fostering camaraderie and innovation.

About Schneider Electric:

Schneider Electric is leading the digital transformation of energy management and automation. Our technologies enable the world to use energy in a safe, efficient, and sustainable manner. We strive to promote a global economy that is both ecologically viable and highly productive