Data Engineer - Power BI Specialist
Data Engineer focused on building and maintaining a scalable Power BI platform and Azure-based data infrastructure, including data modeling, ETL/ELT, and data quality monitoring for an environmental services company.
- Compensation
- Not disclosed
- Location
- BE, Roeselare - HQ
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Contract
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Bachelor's or Master's degree in a relevant field (Data, IT, Engineering, Computer Science or similar)
- Solid experience as a Data Engineer or in a similar data-focused role
- Strong SQL expertise including developing, optimizing and troubleshooting complex data solutions
- Hands-on experience with Azure Data Platform technologies, Data Lakes, ETL/ELT processes and data modeling
- Familiarity with Power BI and/or Microsoft Fabric and backend principles for scalable reporting
- Solid understanding of data architecture principles
- Strong focus on data quality, reliability and performance
- Hands-on technical problem-solving ability
- Clear communication with both technical and non-technical stakeholders
Full description
DESOTEC, founded in 1990, is the leading provider of mobile filtration solutions in Europe and has been building a strong and growing presence in the United States since 2023. Thanks to its unique, flexible, circular service concept and the extensive expertise built up over many decades, DESOTEC unburdens its industrial customers and helps industries grow and thrive while reducing the environmental impact of their operations.
DESOTEC's customer base is constantly growing thanks to a strong focus on 24/7 service and a commitment to design and deliver the best purification solution in close dialogue with the customer. DESOTEC has about 450 employeesworldwide, all committed to helping protect the planet by driving positive ecological change across industries. In 2026, DESOTEC earned its second consecutive EcoVadis Gold rating for sustainability, placing it among the top 5% of companies assessed worldwide.
Further information is available at www.desotec.com. Follow @desotec on LinkedIn, Facebook and Instagram
At DESOTEC, we are on an ambitious growth journey, expanding internationally and scaling our operations across multiple markets. As data becomes increasingly critical in driving smart decisions, operational excellence and innovation, we are currently looking for a Data Engineer to help build and maintain the foundations of our data ecosystem. You will develop scalable data solutions, ensure reliable data availability across the organization and contribute to transforming data into actionable insights. This is a unique opportunity to leave your mark on a fast-growing, purpose-driven international company.
- Power BI Platform & Architecture Approach: You help shape and support a scalable Power BI platform, ensuring that reporting solutions are built on trusted data, well-structured semantic models and clear governance principles. You contribute to the evolution of the data architecture by aligning Power BI datasets, dataflows and reporting standards with business needs, security requirements and long-term maintainability. You actively support a future-proof BI environment that enables both reliable management reporting and controlled self-service analytics across the organization.
- Business Intelligence Enablement: You work closely with business stakeholders, IT colleagues and reporting experts to understand data requirements and translate them into sustainable technical solutions to maximize reporting effectiveness.
- Data Modeling & Integration: You design, build and maintain robust data models that support business intelligence and analytics use cases. You manage data transformations and integration logic, ensuring consistency and efficiency across the data landscape.
- Data Quality & Reliability: You monitor and improve data quality, integrity and performance across the entire data platform. You proactively identify and resolve issues to guarantee trustworthy and decision-ready data.