Data & AI Engineer: Agentic AI & Lakehouse Expert

Vacaturebank; Amsterdam; Hybrid; EUR 78,000 - 130,000; Full time

Job summary

Philips is seeking a Data and AI Engineer to bridge business needs and analytical solutions. You will work hands-on with Python and SQL, build datasets and AI workflows on Databricks, and communicate insights to senior stakeholders.

The role involves data discovery, rapid prototyping, and deployment across Azure platforms, with focus on governance, data quality, and scalable architectures.

Qualifications

• Bachelor's or Master's in Computer Science, Information Management, Data Science or equivalent.
• Minimum 5 years of relevant experience with Bachelor’s, or 3 years with Master’s in data handling and AI solutions.
• Hands-on Python and SQL with Spark/PySpark, Delta Lake and software development practices.

Responsibilities

• Translate ambiguous business questions into well-defined analytical problems and scalable solutions.
• Find, acquire, and prep data from enterprise systems like Salesforce, SAP, ServiceNow with quality controls.
• Analyze commercial and operational data to explain performance and support business cycles.
• Prototype and productionize agentic AI solutions and design evaluation suites.
• Coordinate cross-functional data, analytics and AI initiatives from requirements to adoption.

Skills

Python

SQL

Spark

Databricks

Azure

AWS

Power BI

Delta Lake

CI/CD

Git

Data Modeling

Data Governance

Education

Bachelor's or Master's in CS/Info Mgmt/Data Science

Tools

Databricks

dbt

Git

CI/CD pipelines

Power BI

Job description

Philips is seeking a Data and AI Engineer to bridge business needs and analytical solutions. You will work hands-on with Python and SQL, build datasets and AI workflows on Databricks, and communicate insights to senior stakeholders.

The role involves data discovery, rapid prototyping, and deployment across Azure platforms, with focus on governance, data quality, and scalable architectures.