Senior Data Engineer - AI & Databricks

About the role

As a Senior Data Engineer you will shape AI adoption across Danfoss Climate Solutions, focusing on the global sales organization. You will build and evolve a trusted, scalable Databricks platform that enables sales teams to turn data into actionable insights.

Key responsibilities

• 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.
• Partner with cross‑functional teams to enable adoption of data products and AI solutions for data‑driven sales decisions.
• Evaluate and implement new Databricks and AI capabilities to improve platform performance and deliver measurable business value.

Required profile

• Proven experience designing and managing data platforms that support analytics or AI use cases.
• Strong ability to work with cross‑functional stakeholders and translate data capabilities into business solutions.
• Fluent English with excellent communication skills and a proactive interest in emerging AI technologies.

Required skills

• Databricks (including Unity Catalog) or similar cloud data platforms such as Snowflake or Azure Synapse.
• Strong SQL and Python programming skills.
• Hands‑on experience building scalable data models and modern ETL pipelines.

What we offer

• Opportunity to shape AI application across global sales teams, driving improvements in forecasting and customer insights.
• Hands‑on work with Databricks, Unity Catalog, and Generative AI.
• Influence scaling of data and AI solutions globally with diverse teams.
• Collaborative international environment supporting continuous learning and career development.
• Competitive compensation package and flexible hybrid working model.