Data Scientists

Bachelors in Computer Application (Computers)

Nationality: Any Nationality

Vacancy: 1 Vacancy

Your challenges as a data scientist

• You will be designing, developing, testing, and documenting the data collection framework.
• The data collection consists of (complex) data pipelines from (IoT) sensors and low/high level control components to our Data Science platform.
• You will build a monitoring solution of the data pipeline which enables data quality improvement.
• You will develop scalable data pipelines to transform and aggregate data for business use, following software engineering best practices.
• For these data pipelines, you will make use of the best frameworks available for data processing like Spark and Splunk.
• You develop our data services for customer sites towards a product, using (test & deployment) automation, componentization, templates, and standardization in order to reduce delivery time of our projects for customers.
• The product provides insights into the performance of our material handling systems at customers all around the globe.
• You design and build a CI/CD pipeline, including (integration) test automation for data pipelines.
• In this process, you strive for an ever-increasing degree of automation.
• You will work with an infrastructure engineer to extend storage capabilities and types of data collection (e.g. streaming).
• You have experience in developing APIs.
• You will coach and train the junior data engineer with state-of-the-art big data technologies.

What do we expect from you?

• Bachelor's or Master's degree in computer science, IT, or equivalent with at least 7 years of relevant work experience.
• Programming in Python/Scala/Java.
• Experience with scalable data processing frameworks (e.g., Spark).
• Familiarity with event processing tools like Splunk or the ELK stack.
• Experience in deploying services as containers (e.g., Docker and Kubernetes).
• Knowledge of streaming and/or batch storage (e.g., Kafka, Oracle).
• Experience working with cloud services (preferably with Azure).