Data Engineer - Internship

Location: Amsterdam, Hybrid 
Internship Length: Flexible, approximately 9 months

At Workwize, we’re revolutionizing how businesses support their global teams.
The rise of a global workforce has enabled companies to access a broader talent pool but has also brought logistical challenges, such as local vendor availability, timely laptop delivery, equipment management, and local retrieval and storage.
Workwize’s SaaS platform, integrated with suppliers and warehouses worldwide, simplifies and automates the deployment, management, and retrieval of IT hardware for distributed teams. Currently, Workwize facilitates fast, local deliveries in 100+ countries, supporting the IT lifecycle for over 25,000 users and managing 100,000+ devices globally.

Are you passionate about helping others succeed and eager to learn in a fast-paced, innovative environment?

At Workwize, we’re looking for a Data Engineer Intern who’s eager to learn and excited to contribute to our operations team. In this role, you'll have the chance to work alongside our CSM and TechOps teams, developing foundational skills in data engineering, process improvement, and operational analytics. If you're curious, proactive, and ready to gain hands-on experience in a dynamic environment, this internship is a great fit for you!

As a Data Engineer Intern in Operations, your tasks will include supporting the management and optimization of operational processes, using tools and platforms to automate tasks (with some exposure to Javascript, Python, MySQL). You'll learn how to design data-driven solutions that improve workflows, helping to enhance our internal processes and service quality. Collaborating with a close-knit team of under 10 engineers, you’ll be involved in various stages of our process lifecycles, contributing to efficiency and scalability in real-world operations.

What You will learn:

• Data Engineering Foundations: Gain a strong foundation in data engineering, learning best practices for designing, building, and maintaining data systems that support operational efficiency.

• Data & Analytics Skills: Work with real-world data to build tools that analyze and streamline business processes, learning how data engineering drives decision-making in operations.

• Cross-Functional Collaboration: Collaborate with multiple teams, including CSM and TechOps, to align data solutions with business needs and ensure smooth, integrated processes across departments.

• Operational Tools Development: Contribute to the creation and optimization of tools that support logistics and third-party partnerships, learning how data engineering enhances operational workflows.

• Problem-Solving in Real-Time: Tackle real-world challenges by developing solutions that directly impact the company, building practical problem-solving skills essential for a career in data engineering.

Key Responsibilities:

Support Process Improvement Initiatives: Contribute to efforts in solving real-world operational challenges by assisting with process improvements that positively impact the company from day one.

• Collaborate Across Teams: Work closely with various teams within the company to help identify and address technical and operational issues, gaining insights into cross-functional teamwork.

• Assist in Tool and Application Development: Participate in building and enhancing small applications or tools that connect to live data and integrate with other internal software, learning the basics of development and data connectivity.

• Enhance 3PL Collaboration: Support efforts to improve coordination with our third-party logistics (3PL) partners, such as warehouses and logistics providers, fostering better operational workflows.

• Contribute to Operational Feature Support: Help in setting up tools and processes to support the roll-out of new operational features, gaining practical experience in implementing technical solutions.