Senior Data Engineer - AI & Databricks for Global Sales

Danfoss; Nordborg; Hybrid; DKK 900,000 - 1,200,000; Full time

Benefits offered by this job

Flexible hybrid working model

Job summary

Danfoss Climate Solutions is seeking a Senior Data Engineer - AI & Databricks to shape how AI is adopted across the global sales organization. You’ll build and govern a scalable Databricks platform, enabling sales teams to turn data into insights and AI-ready data products.

You’ll collaborate with data engineers, analysts, and business stakeholders, advance Unity Catalog governance, and drive AI capabilities that improve forecasting, pipeline visibility, and customer insights.

Qualifications

• Experience with Databricks or similar cloud data platforms.
• Strong SQL and Python skills.
• Design and manage data platforms for analytics/AI use cases in a business environment.
• Translate data and AI capabilities into practical business solutions.
• Fluent in English with strong communication skills.

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 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.

Skills

SQL

Python

Data modeling

ETL pipelines

Data governance

Tools

Databricks

Snowflake

Azure Synapse

Job description

Danfoss Climate Solutions is seeking a Senior Data Engineer - AI & Databricks to shape how AI is adopted across the global sales organization. You’ll build and govern a scalable Databricks platform, enabling sales teams to turn data into insights and AI-ready data products.

You’ll collaborate with data engineers, analysts, and business stakeholders, advance Unity Catalog governance, and drive AI capabilities that improve forecasting, pipeline visibility, and customer insights.