Medior Data Engineer
Summary
Build and maintain SQL-based data pipelines and models for a 4PL provider, enabling analytics and reporting across global supply chains.
e-llis Supply Chain Solutions, headquartered in Maastricht, is a leading non-asset-based lead logistics provider, specializing in optimizing supply chains for multinational companies. As a 4PL (fourth-party logistics) provider, we deliver end-to-end solutions, including planning, integration, management, and optimization of logistics networks. With a team of highly skilled staff, we help clients achieve cost efficiency, increased profitability, and supply chain flexibility with minimal capital investment. The company's global network of transportation service providers and advanced supply chain technology enable tailored and competitive solutions for diverse business needs.
About the role
We are looking for a Medior Data Engineer to strengthen our Data Warehouse team. In this role, you will play a key part in building, maintaining, and optimizing data models and pipelines that support analytics, reporting, and operational decision-making across our organization.
You will work closely with data engineers, analysts, and business stakeholders, translating data needs into reliable, scalable data solutions.
Your responsibilities
- Design, build, and maintain robust SQL-based data pipelines
- Develop and optimize data models for analytics and reporting use cases
- Ensure data quality, consistency, and performance in the data warehouse
- Collaborate with analysts and stakeholders to translate business requirements into data structures
- Contribute to the evolution of our modern data platform
- Work in an international, multi-cultural environment, coordinating with teams across countries
Your profile
Required
- Solid experience with SQL
- Hands-on experience with data modeling (e.g. dimensional models, fact & dimension tables)
- Experience working as a Data Engineer at a medior level (able to work independently on standard use cases)
- Comfortable working in an international environment
- Fluent in English (spoken and written)
Nice to have (strong plus)
- Experience with Microsoft Fabric
- Experience with dbt
- Affinity with logistics or supply chain processes
- Experience in data warehousing or analytics platforms in a business-critical environment
What we offer
- A challenging role in a data-driven organization
- A modern data platform with room for technical ownership and growth
- Collaboration with experienced data engineers and stakeholders
- An international working environment with real-world impact
Interested?
- If you enjoy turning data into reliable insights and want to grow further as a data engineer, we’d love to hear from you.