Data engineer in applied AI

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.

• 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.

• 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.

• 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!