Data Engineer Groenlo • Nedap

As a Data Engineer, you work at the heart of our data platform. You develop future-proof solutions with efficient ETL processes and contribute to expanding our data architecture. You stay on top of technological developments and translate them into concrete improvements—from automation to implementing AI within our platform. At Nedap, we are building a data platform where we use smart technologies to make data accessible and actionable.

We focus on various methods of data distribution, including exploring where Natural Language interfaces can add value. Everything we do is aimed at making the most of available data—creating direct value for the organization. You collaborate closely with the IT Architect and Product Owner on decisions concerning data quality, architecture, and metadata management. Thanks to your work, teams such as Finance, Operations, Management, and HR can rely on trustworthy, well-structured information.

Example Project
You’ll help build a system that tracks products from production to end customer. To achieve this, you’ll develop data pipelines that process both structured and unstructured data and store it in Azure Data Lake. The system enables tracking at every stage, supports product lifecycle analysis, and helps detect customer issues early through data analysis and intelligent algorithms.

You’ll design scalable pipelines, monitor data quality, and advise on tools and architectures such as Synapse Analytics, Data Factory, and Databricks. In doing so, you turn raw data into insights that directly support better decision-making.

• Lead the technical development of our data platform together with the Data & BI team;
• Propose new solutions and technologies to make our platform smarter and more efficient;
• Safeguard data quality, integrity, and consistency using clear methodologies;
• Design and build scalable data pipelines for both structured and unstructured data;
• Optimize pipelines for performance and scalability;
• Demonstrate data capabilities to stakeholders—from dashboards to predictive applications;
• Translate business questions into concrete, future-ready technical solutions.

You approach technical challenges with focus and deliver practical, well-considered solutions. You involve stakeholders throughout the entire process—from idea to implementation. With strong analytical skills, you translate complex problems into practical solutions. You enjoy working in a team that makes decisions together and shares responsibility.

What you bring:

• Academic working and thinking level, preferably in Business & IT, Computer Science, Data Science, or a related field;
• At least 5 years of experience as a Data Engineer in a dynamic environment;
• Experience with Azure and familiarity with cloud-based data technologies (such as Microsoft Fabric);
• Knowledge of databases, data modeling, and schema design;
• Proficiency in Python and/or Java, and experience with SQL;
• Experience with Power BI is a plus.

Curious about our vacancy for Data Engineer? Take up the challenge! Send your CV and/or motivation via the application button : Melanie Kamp. If you have any questions, please contact me at via de button "Solliciteer nu" op deze pagina..  

• As part of the application procedure, we ask for a Certificate of Good Conduct.