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Responsibilities
- As a data engineer, you develop, roll-out and maintain our clients in-house software to compute and report Overall Equipment Efficiency (OEE) and Run Time Efficiency (RTE) numbers. These numbers provide vital information during various production meetings.
- You'll consult production engineers to determine the user requirements and document functional specifications.
- You program software to pull data from our equipment (PLC, OPC DA/UA) and Manufacturing Execution Systems (MES) and push it onto a message bus (Kafka, Active MQ).
- You develop algorithms to combine and transform data, compute efficiency numbers and build downtime reason trees.
- You'll collaborate with our DevOps and Infrastructure teams to build and deploy microservices on an on-prem Kubernetes platform.
- You work closely together with production departments to roll out the software on our production lines.
Requirements
- You have a Bachelor/Master degree in computer science, IT or engineering or related experience.
- You have 3 years related work experience (less might be considered depending on previous experience and educational background).
- You have experience with functional and object oriented programming languages (JavaScript, Python, etc.).
- You have basic notion of Linux, DevOps (Jenkins, Kubernetes), Docker containers and version control (git, Gitlab).
- You have an analytical mindset and you are a pragmatic problem solver.
- You are fluent in Dutch and English.
- You have strong communication skills, both verbally and in writing.
- You have basic understanding of lean manufacturing and Overall Equipment Efficiency (OEE).
- You have experience with protocols to extract data from manufacturing systems (OPC UA/DA, MQTT, profinet).
- You have experience with automation and manufacturing systems (PLC, SCADA) and have abasic understanding of Enterprise Resource Planning (ERP) and Manufacturing Execution Systems (MES).
- You have experience with data engineering, data lakes, data warehouses and ETL (Snowflake, Apache Airflow).
- You have basic understanding of Historian Software (Osisoft Pi).
- You have basic understanding of message bus technologies (Active MQ, Kafka), relational databases (Postgres, MSSQL, Oracle) , non-relational databases and object storage.
- You previously worked in the pharmaceutical or another strongly regulated industry.
Let us handle the details
We at STAR are happy to take care of the details
01 // EDUCATION AND DEVELOPMENT
Standing still in this fast-changing market is not an option. That's why you can combine this position at STAR with courses to further your specialist knowledge and skills. It's the best of all worlds: work, learn and be part of a challenging project all at the same time. Whether you need a springboard to launch your career or simply want to update your expertise, the training programmes offered by our STAR Academy ensure that your qualifications are always in line with your ambitions.
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