Internship Data Engineer

Location: Amsterdam, Hybrid

Internship Length: 6 months, 40 hours per week

Remuneration: 500 EUR / monthly

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 in our Technical Operations team, developing foundational skills in programming and data engineering. 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, your tasks will include supporting the management and optimization of operational processes, using tools and platforms to automate tasks (in 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.

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.

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.
• Cross-Functional Collaboration: Collaborate with multiple teams, including CSM and Operations, 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 client analysis, learning how data engineering is used to improve and measure customer satisfaction.
• 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.
• Application Development: Participate in building and enhancing small to large applications or tools that connect to live data and integrate with other internal software, learning the basics of development and data connectivity.
• Contribute to Operational Feature Support: Help in setting up workflows, automations and processes to support the roll-out of new operational features, gaining practical experience in implementing technical solutions.

Skills & Qualifications:

• Currently pursuing or recently completed a Master's degree in Engineering, Data Science, Computer Science, or a related field.
• Strong analytical and problem-solving skills.
• Good interpersonal and communication skills, with the ability to work effectively in a team.
• Interest in applying technical skills to create practical, value-driven solutions.
• Prior experience with Python or JavaScript (through coursework or projects).
• Experience in SQL is a plus but not required.

Benefits:

• Be part of a fast-paced Product team, gaining valuable hands-on experience in the field.
• Immerse yourself in a startup culture with a flat structure where your ideas and contributions are truly valued.
• A fantastic opportunity to work with data and develop skills in data analysis and reporting, directly impacting customer satisfaction.
• Collaborate with cross-functional teams on real-world projects that make a tangible difference for our clients.
• Potential to join the Workwize team after a successful internship evaluation.
• Receive mentorship from experienced Product Managers and Engineers, equipping you with the skills and knowledge to excel in your future career.

What Workwize Offers:

• A vibrant, entrepreneurial work environment that encourages innovation and growth.
• A monthly internship compensation of €500 gross.
• Weekly team lunches and fun monthly surprise events to boost team spirit and camaraderie.
• Flexibility to work in a hybrid environment, balancing office and remote work settings.
• The best work setup with all the necessary tools and equipment provided to ensure your success.