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Open nowPosted 14 days ago

Senior Data Engineer - AI & Databricks

Danfoss

Where
Denmark
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Your applicationOpen nowSenior Data Engineer - AI & DatabricksDanfoss · Denmark

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The clock on this job

Early applications get read.

11.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.3%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 14 days ago

The posting

**The Impact You'll Make

**As a Senior Data Engineer - AI & Databricks , you will help shape how AI is adopted across Danfoss Climate Solutions, especially within our global sales organization.

Working as part of a global team of data, analytics, and AI professionals, you will build and evolve a trusted, scalable, and well-governed Databricks platform that enables sales teams across multiple regions and functions to turn data into actionable insights. Your work will support use cases such as sales forecasting, pipeline visibility, and customer insights, helping teams make faster, data-driven decisions.

By ensuring the platform is secure, high-quality, and continuously improving, you will enable reliable data products and Generative AI solutions that drive business value. Working closely with data engineers, analysts, product owners, and business stakeholders, you will help establish best practices and scale AI adoption across the organization.

Success in this role means delivering trusted, AI-ready data products that strengthen governance, accelerate AI adoption, and support better business decisions.

**What You’ll Be Doing

**

  • Own and improve Databricks governance, including Unity Catalog, data access, security, and data quality
  • Design and maintain scalable data architecture, ensuring best practices across data models, tables, and pipelines
  • Enhance Genie spaces (AI-powered knowledge tools) by improving content, entity matching, and answer quality for end users
  • Partner with cross-functional teams to enable adoption of data products and AI solutions that support data-driven sales decisions
  • Evaluate and implement new Databricks and AI capabilities to improve platform performance and deliver measurable business value

**What We're Looking For

**

  • Experience with Databricks or similar cloud data platforms (e.g., Snowflake, Azure Synapse), including Unity Catalog and data governance practices
  • Strong SQL and Python skills, with hands-on experience building scalable data models and modern ETL pipelines
  • Proven ability to design and manage data platforms that enable analytics or AI use cases in a business environment
  • Experience working with cross-functional stakeholders, translating data and AI capabilities into practical business solutions
  • Fluent in English, with strong communication skills and a proactive interest in applying emerging AI technologies

**What You'll Get From Us

**

  • Shape how AI is applied across global sales teams, driving measurable improvements in forecasting, pipeline visibility, and customer insights
  • Work hands-on with Databricks, Unity Catalog, and Generative AI to build solutions used across multiple markets
  • Influence how data and AI solutions are scaled globally, working with diverse teams and stakeholders
  • Grow in a collaborative and international environment that supports continuous learning, innovation, and career development
  • A competitive compensation package and flexible hybrid working model, with access to global opportunities

**Ready to Make a Difference?

**If you’re excited about building data platforms that power real-world AI applications and drive business decisions, we’d love to hear from you. Apply now and explore how your work can shape the future of AI at Danfoss.

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.

Posting text belongs to the employer. Removal requests: contact us.

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