Data & AI Platform Engineer for AI-Driven Insights

Hamamatsu Photonics A/S

Birkerød

On-site

DKK 800,000 - 1,000,000

Full time

14 days+

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Job summary

Hamamatsu Photonics A/S in Denmark is seeking a Data & AI Platform Engineer to shape our next generation of digital capabilities. You will design and develop data platforms, data warehouses, and analytics solutions that enable automation and AI adoption across the organization.

You will collaborate with ERP, BI, and application teams to transform data into actionable insights, building integrations between Dynamics 365, Power Platform, Azure, and other systems.

Qualifications

  • Experience as data engineer, analytics engineer, data warehouse developer or similar role.
  • Strong SQL and data modeling skills.
  • Understanding of modern data engineering principles, governance and security.
  • Experience with Snowflake, DBT, Databricks, Azure data services and Python.

Responsibilities

  • Build the foundation for AI design: design, build and maintain enterprise data platforms, data warehouses and semantic models.
  • Develop scalable ETL/ELT pipelines to make trusted data available across the organization.
  • Enable intelligent applications and automation: integrate Dynamics 365, Power Platform, Azure services, APIs and external platforms.
  • Partner with stakeholders to turn challenges into data-driven solutions and promote best practices for data & AI adoption.

Skills

SQL
Data modeling
Microsoft Fabric
Power Platform
Azure Data Factory
Python
Copilot Studio

Tools

Snowflake
DBT
Databricks
Power BI
Dynamics 365

Job description

Hamamatsu Photonics A/S in Denmark is seeking a Data & AI Platform Engineer to shape our next generation of digital capabilities. You will design and develop data platforms, data warehouses, and analytics solutions that enable automation and AI adoption across the organization.

You will collaborate with ERP, BI, and application teams to transform data into actionable insights, building integrations between Dynamics 365, Power Platform, Azure, and other systems.

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