About the Role
As a (Senior) Data Engineer Azure, you play a key role in designing and implementing advanced data solutions, acting as a technical point of contact within multidisciplinary teams. You focus on solutions within Azure and Applied AI. Together with your colleagues, you work on a variety of projects, such as optimizing contract management at financial institutions, developing a smart energy grid for millions of households, building AI-driven simulations to reduce train delays, and creating a digital twin and AI optimization algorithm for pharmacists, making a real impact together.
Responsibilities
•Deliver high-quality, scalable and cost-efficient data processing.
•Ensure good test coverage, secure cloud storage and robust data security measures.
•Act as the technical point of contact for the client and be responsible for progress, quality and content.
•Be an active programmer in the team every day.
Requirements
•A relevant higher professional or university degree.
•At least 2–3 years of relevant work experience for Data Engineer.
•At least 5 years of relevant work experience for Senior Data Engineer.
•Extensive experience with Azure data services such as Azure Data Factory, Fabric, Databricks or similar.
•In-depth knowledge of data modeling.
•Experience with infrastructure-as-code tools and streaming data technologies.
•Excellent command of Dutch and English, spoken and written.
Conditions & Benefits
•Gross monthly salary excluding 8% holiday allowance, depending on your work experience and based on a 40-hour workweek. Data Engineer: between €3,551 and €5,086, and Senior Data Engineer: between €4,798 and €6,718.
•Flexible workweek (32, 36 or 40 hours) and the possibility of hybrid working.
•NS Business Card, mobility budget or mileage allowance.
•Work-from-home and internet allowance, plus a budget for an ergonomic home office.
•Personal development budget and access to training and coaching.
•Hackathons, tech talks, sports activities, team outings, summer festival and end-of-year party. And more!
