Data & AI Engineer: Lakehouse & Agentic AI

Philips

Amsterdam

On-site

EUR 78,000 - 130,000

Full time

7 days ago
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Job summary

Philips is seeking a Data and AI Engineer for Enterprise Informatics to bridge business questions and analytical solutions. The role focuses on Python/SQL development, data discovery, and scalable data pipelines across CRM, ERP, service, contracts, and other enterprise systems.

You will collaborate with Sales, Operations, Marketing, and other stakeholders to drive data-driven decisions. You'll build datasets and AI-enabled capabilities on Databricks Lakehouse, with Azure as the preferred cloud

Qualifications

  • Hands-on Python and SQL expertise.
  • Ability to turn ambiguous business needs into analytical problems.
  • Experience with data from enterprise systems (Salesforce, SAP, ServiceNow).
  • Experience deploying data and AI solutions on Databricks Lakehouse.
  • Cloud experience on Azure; AWS experience valued.
  • Strong data governance and data quality awareness.
  • Ability to communicate with senior stakeholders.

Responsibilities

  • Partner with stakeholders to translate business questions into analytical problems.
  • Find, acquire, explore and prepare data from enterprise systems.
  • Analyze commercial, financial and operational data to explain performance.
  • Prototype and productionize agentic AI solutions.
  • Coordinate cross-functional data, analytics and AI initiatives.
  • Contribute to data and AI strategy and roadmap.

Skills

Python
SQL

Tools

Salesforce
SAP
ServiceNow
Databricks Lakehouse
Azure
AWS

Job description

Philips is seeking a Data and AI Engineer for Enterprise Informatics to bridge business questions and analytical solutions. The role focuses on Python/SQL development, data discovery, and scalable data pipelines across CRM, ERP, service, contracts, and other enterprise systems.

You will collaborate with Sales, Operations, Marketing, and other stakeholders to drive data-driven decisions. You'll build datasets and AI-enabled capabilities on Databricks Lakehouse, with Azure as the preferred cloud

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