At Sensr.ai, we blend industrial expertise with smart data solutions to optimize production processes. Our mission is to help industrial companies become more efficient and sustainable through data-driven decisions. We are looking for an experienced Data Engineer or Data Scientist to join our team, bringing technical expertise, conceptual thinking, and a passion for making a real-world impact.

As a data engineer at Sensr you will be involved in the entire industrial data lifecycle, from ingesting raw machine streams to modeling predictive algorithms and building scalable solutions for our clients.

• Build end-to-end solutions that connect with industrial systems (such as OPC UA, PLCs, historians, etc.) to make live data accessible and usable.
• Process and structure large volumes of operational data into a clear and understandable format using our data platforms (Azure, Databricks, Spark, Fabric, etc.).
• Develop models that provide insights from time series, process data, and other industrial sources using techniques like statistical process control, ML algorithms, optimization, and deep learning.
• Work with our team and clients to translate technological capabilities into tangible improvements.

You are someone who:

• Enjoys working at the intersection of engineering, data analysis, and AI.
• Can quickly find structure in complex systems and think abstractly.
• Is not afraid to be hands-on, whether it’s with code, in the cloud, or on the factory floor.
• Values clear communication and collaborates well within a team.
• Appreciates ownership and flexibility in your work.
• Can communicate clearly and professionally in Dutch.
• Enjoys collaborating with colleagues in the office to solve problems together.

You have experience with:

• Several years of experience with Python, SQL, and PySpark.
• Cloud environments (Azure is a plus).
• AI techniques such as classification, regression, anomaly detection, deep learning, or reinforcement learning.
• Data engineering concepts such as event streaming (Kafka, EventHub), scalable ETL, API integration, or data storage (HDFS, Delta Lake, etc.).
• Developing reliable and high-performance solutions in an industrial or production context (a plus).

• A key role in an innovative and fast-growing data team with a significant impact on our clients.
• Challenging and diverse projects in industrial settings.
• A culture of trust, entrepreneurship, and clear communication.
• Flexible working hours, hybrid work options, and a no-nonsense approach.
• A learning-focused environment with access to the latest technologies and room for innovation.

Does this sound like the right fit for you?