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About the Role
The Data and AI Engineer works at the intersection of business analysis, data analysis, data engineering, and agentic AI. This role transforms ambiguous business needs into well-defined analytical problems and scalable solutions, covering data discovery, rapid prototyping, deployment, and adoption. It requires hands-on Python and SQL expertise, with the ability to communicate methods, data quality, and business implications to senior stakeholders.
Responsibilities
- Partner with Services, Sales Operations, Marketing, Business Operations, and other stakeholders to translate ambiguous business questions into well-defined analytical problems, challenge assumptions, and communicate clear conclusions.
- Find, acquire, explore, integrate, and prepare data from enterprise systems (e.g., Salesforce, SAP, ServiceNow), ensuring data quality, lineage, security, and governance.
- Analyze commercial, financial, and operational data to explain performance and support business cycles, including revenue and order-intake bridges, pipeline, backlog, installed base, and variance analysis.
- Build and maintain curated datasets, Python/SQL data solutions, and semantic/metric layers on Databricks Lakehouse and cloud platforms (Azure preferred, AWS valued).
- Rapidly prototype and productionize agentic AI solutions, designing agent tools and skills, curating semantic metadata, creating evaluation suites, and using modern AI development harnesses and coding agents with sound Git, testing, and CI/CD practices.
- Coordinate cross-functional data, analytics, and AI initiatives from requirements through deployment, testing, validation, and adoption.
- Proactively contribute to data and AI strategy and roadmap definition, evaluate emerging technologies, and share reusable methods and best practices.
Requirements
- Bachelor's or Master's degree in Computer Science, Information Management, Data Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics, or an equivalent field.
- Minimum 5 years of relevant experience with a Bachelor's degree, or 3 years with a Master's degree, in data handling, analytics, data engineering, AI solution development, or equivalent.
- Strong hands-on Python and SQL skills, including experience with Spark or PySpark, Delta Lake, and practical software development practices.
- Practical Databricks experience spanning notebooks, Lakehouse/Delta, jobs or workflows, applications or agents, and deployment pipelines.
- Demonstrated hands-on experience building agentic AI solutions beyond a proof of concept, including evaluation, testing, and production-readiness considerations.
- Strong data analysis capability, including statistical methods, data processing, reconciliation, and the ability to explain discrepancies in data sources or metrics.
- Experience with cloud platforms, preferably Azure; AWS experience is also relevant.
- Ability to coordinate cross-functional work, gather requirements, and communicate clearly in English with business leaders and technical stakeholders.
- Practical analytics-engineering experience with commercial and financial data, including revenue, subscription or license models, pipeline, backlog, and installed base, and related enterprise systems such as Salesforce, SAP, and ServiceNow, ideally within a B2B software or technology business.
- Familiarity with modern agent frameworks and protocols, LLM evaluation practices, semantic modeling, dbt or Databricks metric views, and Power BI.
- Experience in Healthcare, medtech, or another regulated industry is preferred.
Skills
- Python
- SQL
- Spark
- PySpark
- Delta Lake
- Databricks
- Azure
- AWS
- Agentic AI
- Data Analysis
- Data Engineering
- dbt
- Power BI
Work Type
- Office-based (at least 3 days per week)
- Onsite (full-time presence required for onsite roles)
Experience Level
- Minimum 5 years of relevant experience with a Bachelor's degree
- Minimum 3 years of relevant experience with a Master's degree
Education Level
- Bachelor's or Master's degree in Computer Science, Information Management, Data Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics or an equivalent field
Salary/Compensations
- €78.187 – €130.312
About the Company
- Enterprise Informatics is Philips' software business. Decisions about where to invest, which opportunities and accounts to prioritize, and how the business will perform depend on data from CRM, ERP, service, contracts and other enterprise systems.
- Are you ready to do the work of your life to help the lives of others? Learn more about our business, discover our rich and exciting history and learn more about our purpose.
- Learn more about our culture of impact with care.