Working Student Methods & Tools d/f/m
RWE · Hamburg, Deutschland · Vor Ort · vor 13 Tagen
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RWE Offshore Wind GmbH
To start as soon as possible, part time, fixed term
We are looking for a motivated and technically skilled Working Student to join our Engineering Department. In this role, you will support the development of digital and data-driven solutions, including AI-powered tools, data engineering, analytics, and process optimisation initiatives. You will contribute to building and maintaining scalable data solutions, developing automation tools, and leveraging modern data technologies to improve engineering workflows, data accessibility, and knowledge management.
This position offers a valuable opportunity to gain practical experience in a diverse and innovative environment at the intersection of engineering, data, analytics, and digital transformation.
About the role
Support the digitalisation and automation of engineering and business processes using Python, SQL, and modern data technologies.
Assist in the development, maintenance, and optimisation of data pipelines and workflows.
Develop and enhance tools, methods, and analytical solutions to improve efficiency and data utilisation.
Structure, transform, analyse, and visualise engineering and operational data.
Support the integration of AI and machine learning solutions into engineering workflows.
Gain hands-on experience with Databricks and cloud-based data platforms.
Collaborate with engineers and stakeholders to translate business requirements into technical solutions and actionable insights.
Assist with technical documentation, reports, dashboards, and presentations.
Job requirements and experience
Currently enrolled in a Bachelor's or Master's program in Engineering, Computer Science, Data Science, Information Technology, or a related field.
First practical experience through internships, student work, academic projects, or similar roles in a relevant field.
Strong interest in AI, data engineering, analytics, automation, and digital transformation.
Experience with or exposure to:
Python for data processing, automation, or analytics.
SQL for querying, transforming, and managing data.
Databricks, or similar big data platforms.
Git and version control best practices.
Data visualisation tools such as Power BI, Tableau, or similar platforms.
Strong analytical thinking, problem-solving skills, and a structured, proactive working style.
Good written and spoken English skills.
Advantageous, but not essential
Experience with machine learning or AI tools is beneficial.
Familiarity with APIs, system integrations, and cloud-based data solutions.
Your benefits
Hybrid and flexible working hours.
Steep learning curve and close collaboration with experienced professionals.
Close, trust-based collaboration within a highly motivated diverse, inclusive, and supportive team / environment with flat hierarchies.
Contribution to the renewable energy transition.
From here, you benefit from many further advantages – Curious?
Apply with just a few clicks: ad code 93692, application period: 25/10/2026.
Any questions? Contact HR: Mia Cao, mia.cao@rwe.com
We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too. #LI-MC1
We value diversity and therefore welcome all applications - regardless of gender, disability, nationality, ethnic and social origin, religion/belief, age, sexual orientation, and identity. #inclusionmatters
As a global leader, RWE Offshore Wind is shaping tomorrow's energy on the high seas. We are active across Europe, Japan and Korea. We have already 18 wind farms in operation with an installed capacity of over 3 gigawatts. With over 20 years’ experience in developing, building, operating and maintaining offshore wind farms we have established long-term partnerships, working hand in hand with local businesses and communities. Every year, we invest millions of euros in new offshore wind projects and support harbours, educational programmes, local organisations and more. Our passionate workforce is committed to driving technological and sustainable improvements, delivering construction projects on time and within budget to the highest quality and safety standards, and contributing to the energy world of tomorrow.
Want to learn more about working for RWE Offshore? Join Our Journey Offshore by watching the miniseries including 6 episodes, 5 ambassadors and one exciting trip Offshore.
- Arbeitgeber
- RWE
- Ort
- Hamburg, Deutschland · Vor Ort