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BOSAQ is a circular water technology company, leader in sustainable water, headquartered in Deinze, Belgium. Our purpose is to protect the future against water stress, water scarcity and positively impact the global water landscape.
We have two Business Units. BOSAQ Technology and Water Experts.
At BOSAQ Technology we offer water technology solutions to 2 target groups all across the globe. At BOSAQ Industries we provide containerised solutions to water-intensive industries to make their water use circular. At BOSAQ Communities we provide decentralised drinking water technology solutions to Governments to help provide communities in remote areas with easy access to clean and safe drinking water.
At Water Experts, we provide consultancy services on integrated water-management approach for efficient use/reuse of water for industries.
Our customers are leading players in sectors as diversified as Manufacturing, Chemicals, Transportation, Food and Beverages, Real Estate etc. BOSAQ Group is at the forefront of innovation and has contributed to date to save over one million of cubic meters of water and produce premium quality drinking water for thousands of people all over the globe.
BOSAQ develops advanced water treatment technologies for drinking water production, industrial water reuse and decentralized water systems. Beyond hardware and process engineering, BOSAQ is investing heavily in advanced analytics, artificial intelligence and digital technologies to make water treatment systems smarter and more autonomous.
We believe that digital twins, anomaly detection and process intelligence will become a major differentiator in how water treatment plants are designed, operated and maintained.
To accelerate this vision, we are looking for an Industrial Data & Digital Twin Engineer who will help transform operational data into actionable insights and intelligent decision support systems.
Your role
You will be responsible for developing the analytical foundation behind BOSAQ's next generation of smart water treatment systems.
Using operational data, engineering knowledge and modern data science techniques, you will build digital twin models, anomaly detection algorithms and performance analytics that support operators, service teams and engineers.
You will work closely with the Operations Team, Process Engineers, Automation Engineers and Application Developers to ensure solutions are both technically robust and operationally relevant.
Digital Twin Development
Develop digital twin models of BOSAQ treatment technologies (UF, NF, RO, …).
Model key treatment steps and process components.
Simulate process behaviour under different operating conditions.
Improve understanding of process performance and system limitations.
Support process optimization through data-driven insights.
Anomaly Detection & Predictive Analytics
Develop algorithms that detect abnormal operating conditions.
Create models capable of identifying process deviations before failures occur.
Build predictive maintenance capabilities for critical equipment.
Continuously improve model performance using operational feedback.
Data Infrastructure & Analytics
Structure and standardize process data from installations worldwide.
Develop reusable analytics workflows and methodologies.
Support deployment of analytical models in operational environments.
Maintain data quality and validation frameworks.
Collaborate on industrial data architecture and governance.
Dashboard Development & Service Support
Develop standardized dashboards for service and operations teams.
Transform complex process data into actionable visualizations.
Standardize KPIs across BOSAQ installations.
Build fleet-wide performance monitoring tools.
Improve visibility of asset health and operational performance.
Testing & Operational Validation
Work directly with the Operations Team to test and validate models.
Investigate operational events and system anomalies.
Perform root-cause analyses.
Validate digital twin accuracy against real-world plant behaviour.
Translate operational feedback into model improvements.
Support commissioning and troubleshooting activities when required.
Artificial Intelligence & Future Technologies
Contribute to BOSAQ's AI roadmap.
Explore advanced machine learning techniques for water treatment.
Develop scalable frameworks for future autonomous operation.
Support development of intelligent decision support tools.
Evaluate emerging technologies relevant to industrial AI and process optimization.
Education
Master's degree in:
Bioscience Engineering
Chemical Engineering
Environmental Engineering
Computer Science
Data Science
Industrial Engineering
or equivalent through relevant experience.
Experience
Experience in data science, industrial analytics or process modelling.
Experience with real-world operational data is highly valued.
Experience in water treatment, utilities, industrial manufacturing or process industries is an advantage.
Technical Skills
Strong knowledge of:
Python
SQL
Data modelling
Statistical analysis
Machine learning
Data visualization
Experience with several of the following is a strong asset:
Power BI
Grafana
Azure
Databricks
Docker
MQTT
OPC-UA
Industrial IoT platforms
Time-series databases
Personal Competencies
Strong analytical mindset
Curious and research-oriented
Able to bridge engineering and data science
Pragmatic and results-driven
Strong collaboration skills
Passionate about sustainability, technology and innovation
Comfortable working in a fast-growing scale-up environment
You like honest, straightforward, and to-the-point communication in Dutch or English (open feedback make us all better)
Integrity is one of your key values
A ‘work hard-play hard’ culture in a pleasant and dynamic start-up drives you
You are socially engaged and you believe in the power of ‘business as a force for good’
You don’t take yourself too seriously
Changing the world for the better and giving you the chance to be a part of it
Investing in you: we believe talent like yours needs to be fostered and watered regularly for it to grow
Providing you with opportunities: our company is growing and so will you
An attractive and creative remuneration package for a job with impact
A flexible schedule in place and time: you schedule your work as it fits you, to be at your best
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