Who are we?  

Collaboration Betters The World (CBTW), is a company providing tech et business solutions to its clients, through the expertise of its 9 service lines.  

As an Industrial Data Engineer, you will join our Smart Industrial Solutions service line, where we are integrating smart automation and process engineering, we drive manufacturing excellence, leveraging Industry 4.0 technologies to enhance performance, reduce costs, and ensure eco-friendly operations. 

What is your role? 

Consulting: You will be part of a journey where you will have two impacts: a client impact and an internal impact. For the internal impact, based on your skills and time, you will be joining our internal  Digital Core Team at CBTW, to share knowledge and best practices. For the client impact, tasks can vary depending on the client and the project, but as an Industrial Data Engineer, you will mainly: 

• Develop and maintain robust data pipelines for collecting, processing, and analyzing large volumes of manufacturing data from various sources, including sensors, IoT devices, and PLCs.
• Implement and manage Industrial IoT (IIoT) solutions to monitor and optimize manufacturing processes in real time.
• Analyze production data to identify trends, patterns, and areas for improvement, utilizing advanced analytics and machine learning techniques.
• Create and maintain interactive dashboards and reports to provide actionable insights to stakeholders, enhancing decision-making processes.
• Collaborate with cross-functional teams, including automation engineers, to integrate data-driven solutions into manufacturing operations.
• Ensure data quality, security, and compliance with industry standards and regulations, implementing best practices for data governance.
• Support predictive maintenance initiatives by developing models to forecast equipment failures and optimize maintenance schedules.

What is your profile?

You: 

• Hold a Bachelor’s or Master’s degree in Data Engineering, Computer Science, Chemical Engineering, Process Engineering, or a related field.
• Have a first experience in data engineering within a manufacturing environment, with a focus on Industry 4.0 and digital transformation.
• Have strong programming skills in languages such as Python, R, and SQL, with experience in big data technologies (e.g., Hadoop, Spark) and data visualization tools (e.g., Power BI, Tableau).
• Have knowledge of industrial automation, IoT, and experience working with industrial communication protocols (e.g., OPC UA, MQTT).
• Have a good understanding of manufacturing processes, especially in the chemical or process engineering industries, and familiarity with process optimization techniques.
• Are native in French or Dutch, and proficiency in English.
• Have strong problem-solving abilities, with excellent communication skills and the ability to work collaboratively in a team-oriented environment.

• Will be an outstanding candidate if you share our values: Positive Thinking, Collaboration, Evolution & Commitment. 

What are we offering?

Evolution: 

• Personal follow-up during your career at CBTW and buddy-ship program during your first 6 months 

• Catalogue with a wide variety of trainings for hard- and soft skills, private language classes, unlimited access to an E-learning platform (Udemy, O'reilly,…) and possibility to get certified every year. 

Collaboration: 

• On top of the Digital Manufacturing's Community, you can join one of the passion communities and practice your hobby or share your interests with other positive thinkers 

• International collaboration, possibility to work worldwide 

On top of that: 

• Competitive salary with a flexible mobility package (variety of choice between electric cars, electric bikes, payment of rent/mortgage...) 

• You will become part of a growing team of people keen on applying the latest technologies and knowledge. You will be able to work in a dynamic, innovative environment. 

Do you see a match? We would love to see your application coming in! 😉