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Location
In office (Ljubljana)
Visa
Sponsors visas in United States, United Kingdom, Denmark; no register of this country names it

Confirmed on the employer's own hiring board on Nov 7, 2026. First seen by Alion on Nov 4, 2026. Danfoss scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Danfoss is a Danish engineering group headquartered in Nordborg that makes mechanical and electronic components for climate solutions, power solutions and drives, including valves, compressors, heat exchangers, hydraulics and frequency converters. Founded in 1933 by Mads Clausen and still family-owned, it runs factories and engineering sites across Europe, the Americas and Asia, with large teams in Florida, Illinois, Iowa, Mexico, India, China and Slovenia. Its careers board lists quality, test and application engineers, production operators and assemblers, project and sales engineers, and student workers.

The Impact You'll Make

Join our Data Strategy & Architecture team in Ljubljana-Šentvid, Slovenia, and help build the data foundation that powers AI, machine learning, forecasting, and analytics across Danfoss Power Electronics and Drives.

As a Data Engineer, you will transform data from systems such as SAP, CRM platforms, and other enterprise sources into trusted data products. Your work will enable smarter decisions, accelerate AI adoption, and bring new data-driven solutions from idea to production faster.

You'll be part of a collaborative team that embraces modern technologies, continuous learning, and experimentation. Together, we build scalable data solutions that create real business impact.

What You’ll Be Doing

  • Build and maintain data pipelines and data products that support AI solutions, analytics, dashboards, and business reporting

  • Partner with stakeholders across sales, product management, engineering, and IT to understand requirements and turn them into scalable data solutions

  • Develop and optimize solutions using Python, PySpark, SQL, and Databricks, balancing performance, reliability, and maintainability

  • Apply modern engineering practices including Git, automated testing, CI/CD, monitoring, and documentation to deliver production-ready solutions

  • Monitor and improve data and ML pipelines, ensuring high levels of data quality, operational stability, and cost efficiency

What We're Looking For

  • Relevant degree in computer science, data science, software engineering, mathematics, statistics, or similar, or equivalent experience

  • Experience in Data Engineering, Data Science, or a related field, with a track record of building data pipelines and data products

  • Solid skills in Python, SQL, data modelling, and Databricks or similar cloud data platforms

  • Experience with modern engineering practices, including Git, automated testing, CI/CD, and source control

  • Confidence working with AI coding tools such as GitHub Copilot, Cursor, or Claude Code

  • Fluent communication skills in English

What You'll Get from Us

  • We promote from within and support your learning with mentoring, training, and access to global opportunities.
  • You’ll have flexibility, autonomy, and support to do your best work while maintaining a healthy work-life balance. Your well-being matters to us.
  • We strive to create an inclusive work environment where people of all backgrounds are respected, and valued for who they are.
  • You’ll receive benefits like annual bonus, paid vacation, pension plans, personal insurance, and more. These vary by country and contract, but they’re worth asking about-we think they’re pretty great.

Ready to Make a Difference?

If this role excites you, we’d love to hear from you! Apply now to start the conversation and learn more about where your career can go with us.

Our Commitment to Transparency

Salary ranges listed reflect only primary location and currency. For local salary ranges and specific benefits in your preferred hiring location, please ask your Talent Acquisition representative for more information.

The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Any benefits listed do not promise or guarantee any particular benefit or specific action. They may depend on country or contract specifics and are subject to change at any time without prior notice.

Want to know more? Please visit our FAQPag e.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or other protected category.

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