Werkstudent (m/w/d) im Bereich Digitale Transformation mit Schwerpunkt Data Science

Im Rahmen Deiner Werkstudententätigkeit unterstützt Du bei unterschiedlichen Aktivitäten, die wesentlich zum erfolgreichen Betrieb des Offshore-Windparks Veja Mate beitragen. Dabei stehen im Fokus die systematische Datenaufbereitung, Analyse und Visualisierung verschiedener für den Betrieb notwendiger Analysen, Reports und Kennzahlen. Du erhältst dabei die Möglichkeit mit spannenden Cloud-, Analyse- und Reporting Technologien zu arbeiten.

• Automatisierte Datenextraktion unstrukturierter Daten aus verschiedenen Quellsystemen (Dokumentenmanagementsysteme, Apps, Webseiten, Maintenance Management Systeme etc.)

• Du bist eingeschriebene/r Student/in idealerweise im Bereich Informatik, Statistik, Data Science, Physik oder Ingenieursstudiengang und bereits mindestens im 4. Semester des Bachelor-Studiums, gerne bereits im Master-Studium

• Du verfügst über Programmierkenntnisse in der Sprache Python, SQL und kennst Dich mit Datenbanken und Cloud-Systemen aus. Große Datenmengen und Visualisierung schrecken Dich nicht ab, sondern begeistern Dich

Wenn Dein Profil nicht all den geforderten Qualifikationen entspricht, Du dich aber wie berufen für diese Aufgabengebiete fühlst, ist uns Deine Bewerbung selbstverständlich auch willkommen.

Du erhältst einen umfassenden Einblick in die Offshore-Windindustrie und übernimmst spannende und abwechslungsreiche Tätigkeiten in einem hochmotivierten Team. Die flache Unternehmenshierarchie ermöglicht eigene Gestaltungsmöglichkeiten und ein hohes Maß an Verantwortung. Neben fairer Bezahlung, vielfältigen Corporate Benefits bieten wir die Möglichkeit, sich ein Netzwerk für die zukünftige Karriere aufzubauen.

How You Will Contribute

Your work will directly support the operational excellence of Veja Mate, one of the largest offshore wind farms in the German North Sea. You will help turn raw operational data into actionable insights that drive decision-making across technical and commercial teams. This means you will not only write code but also understand the business context behind the numbers. You will collaborate with engineers, asset managers, and data specialists to identify opportunities for automation and improved reporting.

You will be involved in the full data lifecycle: from extracting data from various sources, cleaning and transforming it, to building dashboards and reports that are used daily by the operations team. You will also have the chance to propose new analytical approaches and tools, and to see your ideas implemented in a real-world industrial environment. Your contributions will help reduce downtime, optimize maintenance schedules, and ultimately increase the energy yield of the wind farm.

• Develop and maintain Python scripts for automated data extraction from documents, APIs, and databases.
• Design and implement data models and ETL processes to consolidate information from multiple systems.
• Create interactive dashboards and visualizations using tools like Power BI, Tableau, or custom web frameworks.
• Support ad-hoc analyses for the operations and management teams.
• Document your work and share knowledge with the team to ensure continuity.

What You Will Learn

As a working student in digital transformation with a focus on data science, you will gain hands-on experience with modern cloud technologies and data engineering practices. You will learn how to work with large, heterogeneous datasets in a production environment, and how to apply machine learning techniques to solve real operational problems. You will also develop soft skills such as stakeholder communication, project management, and agile working methods.

You will be mentored by experienced professionals who will guide you through the complexities of offshore wind operations. You will have access to internal training resources and the opportunity to attend industry webinars and conferences. By the end of your tenure, you will have a portfolio of projects that demonstrate your ability to deliver value through data science.

Your Team and Work Environment

You will join a small, cross-functional team that values curiosity, initiative, and collaboration. The team is responsible for driving digitalization across the company, from automating manual processes to developing predictive maintenance models. You will work closely with the Technical Operations Manager and other stakeholders to understand their data needs and deliver solutions that fit their workflows.

The work environment is dynamic and fast-paced, but also supportive and flexible. We understand that your studies come first, so we offer flexible working hours and the possibility to work remotely part of the time. You will be based in our Hamburg office, with occasional visits to the offshore site or our O&M base in Emden.

Why Veja Mate?

Veja Mate is a pioneer in offshore wind energy, operating a 402 MW wind farm that supplies clean electricity to over 400,000 households. By joining us, you become part of the energy transition and contribute to a sustainable future. We are committed to innovation and continuous improvement, and we see digital transformation as a key enabler for our success.

We offer a competitive hourly wage, flexible working hours, and a modern office in the heart of Hamburg. You will also benefit from our corporate health management program, team events, and the chance to build a professional network in the renewable energy sector. Many of our former working students have transitioned into full-time roles after graduation.

"Working at Veja Mate gave me the opportunity to apply my data science skills to real-world challenges and see the direct impact of my work on the performance of the wind farm." – Former Working Student

Application Process

To apply, please send your complete application documents (cover letter, CV, and relevant certificates) to the email address provided above. In your cover letter, tell us why you are interested in offshore wind and how your skills and experience align with the role. We welcome applications from students of all nationalities and backgrounds.

After reviewing your application, we will invite shortlisted candidates for an interview, which may be conducted in person or via video call. The interview will focus on your technical skills, your motivation, and your fit with the team. We aim to make a decision quickly and will keep you informed throughout the process.

If you have any questions about the position or the application process, feel free to reach out to the contact person listed in the job posting. We look forward to hearing from you!

For other opportunities, please visit our Careers page or check out our Student Positions and Speculative Applications.