Data Engineer
Summary
Data Engineer on DHL's Engineering & Reporting team at Campus Weert: build and maintain Power BI dashboards, automate recurring reports with Power Automate, and develop data pipelines using SQL, Python, VBA and/or R to turn warehouse and logistics data into actionable insights.
As a Data Engineer in DHL's Engineering & Reporting team at Campus Weert, you turn data into actionable insights and scalable reporting. You own data and reporting initiatives from analysis through implementation, collaborating with cross-functional teams to optimize data sources and dashboards. You will build Power BI dashboards, automate reports, and develop data pipelines using SQL, Python, and Power Automate. This role offers visibility into how data drives logistics decisions and operational efficiency, with growth opportunities within a global leader in logistics.
Arbeidsvoorwaarden / Benefits- competitive salary
- 8% holiday allowance
- 25 vacation days (up to 39)
- travel allowance
- company laptop and phone
- vitality budget for gym, coaching, development
- Build and maintain Power BI dashboards and translate complex data into actionable insights
- Automate recurring reports and processes with Power Automate
- Develop and maintain standardized reporting templates
- Manipulate data and script efficiently using Python, VBA and/or R
- Execute advanced SQL to query and connect diverse data sources
- Support and improve data integrations and workflows
- Manage and optimize data sources and reporting processes
- Identify bottlenecks and proactively develop improvements
- Take ownership of projects from analysis through implementation
- Collaborate with operational teams and stakeholders to ensure practical effectiveness
- Strong analytical and problem-solving skills
- Experience with Power BI and data visualization
- Advanced knowledge of SQL
- Experience with Python, VBA and/or R
- Experience with reporting automation (Power Automate)
- Understanding of data integration and workflow management
- Ability to translate complex data into clear insights for stakeholders
- Ownership mindset and ability to manage topics independently
- Strong communication and collaboration skills
- Experience with Office 365, Visio, front- and back-end concepts
- Affinity with warehousing operations and understanding of inbound, storage, picking, packing and outbound
- ownership and initiative
- collaboration
- analytical mindset
- Power BI
- SQL
- Python