Supply Chain Data Enthusiast

at  Soudal

Company
Soudal is the largest independent European manufacturer of sealants, adhesives, and polyurethane foam for professional and private use. With a turnover of 1,34 billion Euro, 4000 employees and 29 production sites on 5 continents, this 100% Belgian family business has developed into an international player and an expert in chemical construction specialties. Continued investments in R&D, a long-term vision for innovation and adaptation to local market requirements are the foundations for Soudal’s excellent performance.
Job description
Are you passionate about the world of data and its transformative potential? Do you possess a thirst for learning, an enthusiastic and curious mindset, and a drive to extract valuable insights from complex datasets? If so, we have the perfect opportunity for you!
At Soudal, we further want to leverage data to optimize our supply chain operations. We’re looking for a dynamic and driven colleague to join our supply chain team, where you’ll play a pivotal role in harnessing the power of data to enhance our supply chain processes and decision-making.

Key Responsibilities:

• Collaborate with cross-functional teams to identify data needs and requirements within the supply chain domain.
• Design, develop, and implement data pipelines for extracting, transforming, and loading (ETL) data from various sources into our Data Lakehouse.
• Utilize Azure Data Factory, Data Bricks Lakehouse, and other relevant technologies to ensure efficient data integration and transformation.
• Develop and maintain data models to support advanced analytics and reporting using tools like Power BI.
• Create interactive and insightful dashboards in Power BI to provide actionable insights.
• Perform data analysis, data profiling, and data quality assessments to ensure accuracy and reliability of information.
• Stay up-to-date with the latest trends, tools, and best practices in data engineering and analytics.

• Collaborate with cross-functional teams to identify data needs and requirements within the supply chain domain.
• Design, develop, and implement data pipelines for extracting, transforming, and loading (ETL) data from various sources into our Data Lakehouse.
• Utilize Azure Data Factory, Data Bricks Lakehouse, and other relevant technologies to ensure efficient data integration and transformation.
• Develop and maintain data models to support advanced analytics and reporting using tools like Power BI.
• Create interactive and insightful dashboards in Power BI to provide actionable insights.
• Perform data analysis, data profiling, and data quality assessments to ensure accuracy and reliability of information.
• Stay up-to-date with the latest trends, tools, and best practices in data engineering and analytics