Data Engineer (AI)

TL;DR

Data Engineer (AI): Building modern cloud-based data platforms that support analytics and AI use cases with an accent on scalable ingestion transformation and high-quality data. Focus on transforming raw data into trusted scalable and future ready data products.

Location: Hybrid way of working, where you can work 70% from home. You can work up to 45 days abroad.

Company

hirify.global makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale.

What you will do

• Design and develop data pipelines on modern cloud platforms.
• Implement data ingestion transformation and data modeling patterns.
• Ensure data quality performance and cost awareness in data solutions.
• Collaborate with architects, analytics consultants and client teams.
• Contribute to continuous improvement of data engineering practices.
• Enable data availability and quality for advanced analytics and AI use cases.

Requirements

• Strong experience as a data engineer on modern data platforms.
• Hands on experience with Azure and Databricks.
• Solid knowledge of SQL and data modeling concepts.
• Professional working proficiency in English is required. Dutch and or French are a strong advantage.

Nice to have

• Experience with data governance or data quality concepts.
• Consulting or customer facing experience.

Culture & Benefits

• Net expenses.
• Company car or mobility budget.
• Health insurance.
• Meal vouchers.
• Pension plan.
• 32 vacation days.