La Lorraine Bakery Group - Junior Data Engineer (Production & Supply Chain)

As a Junior Data Engineer - Production & Supply Chain, you help transform operational data into reliable and actionable insights. You contribute to data products, data models, and data pipelines that support reporting, Power BI, Machine Learning, and AI applications. Working with data from ERP, MES, WMS, and other operational systems, you learn how to structure, integrate, and make data accessible across the organization. Together with BI/RT Solution Partners, Data Scientists, IT teams, and business stakeholders, you help build solutions that improve decision-making across production, planning, inventory, logistics, and quality. Function You support the design, development, testing, and documentation of ETL/ELT data pipelines that transform operational data into reliable datasets for BI, analytics, Machine Learning, and AI. You contribute to the integration of data from production and supply chain systems such as ERP, MES, WMS, and other operational applications. You help build data products and semantic models covering topics such as production performance, forecasting, inventory management, Otif, planning, traceability, and logistics efficiency. You perform data quality checks, investigate data issues, and contribute to maintaining accurate documentation, monitoring, and data lineage. You learn and apply modern data engineering practices, including Version Control, testing, CI/CD, and DataOps. You work in an agile environment alongside data analysts, data scientists, IT colleagues, and business stakeholders, gradually developing into a well-rounded data professional. You report directly to the Data & Analytics Platform Architect. Your profile You hold a Master's degree in IT, Data, Engineering, or a related field. You have gained relevant experience through internships, academic projects, or an initial professional experience. You have a solid foundation in SQL and Python and are eager to further develop your expertise in modern cloud data platforms such as Azure and Databricks. You are interested in data modelling, ETL/ELT processes, data warehousing, lakehouse architectures, testing, and documentation. Experience with DBT or similar frameworks is considered a plus. You are analytical, detail-oriented, and eager to learn. You enjoy understanding how business processes work and how high-quality data supports better decision-making. You are comfortable using AI tools to work more efficiently, accelerate learning, and support innovative solutions. You communicate fluently in English and enjoy collaborating with both technical teams and business stakeholders. Knowledge of Dutch a plus. Our offer You will join an international family-owned company with a strong long-term vision, where more than 5,700 passionate colleagues work together, driven by five core values. You will become part of a growing Data & Analytics organization that is building a modern data platform, with plenty of opportunities for training, certification, and collaboration with strong business domains. We invest in a positive and engaging work environment through a variety of sports activities and team events. Every day, you can literally experience our passion through our fresh and innovative, high-quality products. You will work on data products that have a tangible impact on the performance of our international manufacturing and supply chain operations—from planning and inventory management to service, quality, and logistics. You will help build a better world, with sustainability being a key priority throughout our company. You will have every opportunity to grow and develop in a highly dynamic environment. Our Llbg Academy supports you in becoming the best version of yourself. We offer an attractive compensation package, including one day of remote work per week, meal vouchers, hospitalization insurance, group insurance, a company car, and 10 additional vacation days on top of the statutory leave entitlement. You will have the autonomy to take initiative, roll up your sleeves, and make a real difference.