Data Engineer: Dashboards, Automation & Data Insight

Deutsche Post; Weert; On-site; EUR 41,000 - 52,000; Full time

Benefits offered by this job

8% holiday allowance

25 vacation days

Travel allowance

Laptop & phone

Vitality budget

Benefits at Work

Skills development

Inclusive culture

Great Place to Work

Job summary

DHL Supply Chain is seeking a Data Engineer for Campus Weert to turn data into actionable insights and support decision-making. You will own data and reporting topics from analysis to implementation, collaborating with teams at DHL locations.

The role uses Power BI, SQL, Python and Power Automate, offering a 32–40 hour work week and a competitive salary with growth potential, plus a range of benefits. This on-site position is based in Weert and focused on data-driven logistics.

Qualifications

• Strong analytical and problem-solving abilities.
• Experience with Power BI and data visualization.
• Advanced SQL knowledge.
• Experience with Python, VBA or R.
• Experience with reporting automation, preferably Power Automate.

Responsibilities

• Build and maintain Power BI dashboards translating data into insights.
• Automate recurring reports and processes with Power Automate.
• Develop and maintain standardized reporting templates.
• Use Python, VBA and/or R for data manipulation and scripting.
• Use advanced SQL to query and connect data sources.
• Support and improve data integrations and workflows.
• Manage and optimize data sources and reporting processes.
• Identify bottlenecks and develop improvement solutions.
• Take ownership of projects from analysis to implementation.
• Collaborate with operational teams to ensure practical solutions.
• Help improve DHL Supply Chain data usage for decision making.

Skills

Analytical skills

Ownership mindset

Communication skills

Problem solving

Team collaboration

Tools

Power BI

SQL

Python

Power Automate

VBA

R

Office 365

Visio

Job description

DHL Supply Chain is seeking a Data Engineer for Campus Weert to turn data into actionable insights and support decision-making. You will own data and reporting topics from analysis to implementation, collaborating with teams at DHL locations.

The role uses Power BI, SQL, Python and Power Automate, offering a 32–40 hour work week and a competitive salary with growth potential, plus a range of benefits. This on-site position is based in Weert and focused on data-driven logistics.