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successfactors

Working Student Asset Risk and Lifetime Optimization d/f/m

RWE
GBR
Part Time, Temporary
Entry
Hybrid
Discovered 1 months ago
TableauSQLPythonRDatabricksData Lakes

Full Job Posting

Working Student Asset Risk and Lifetime Optimization d/f/m

Hamburg, HH, DE, 20354

RWE Renewables Europe & Australia GmbH To start as soon as possible, part time, fixed term

We are looking for a Working Student (d/f/m) to support us on Asset Risk and Lifetime Optimization topics, with the focus on data processing and analysis, as well as internal tool development. This role would suit someone who genuinely enjoys working with large datasets, spotting patterns, and solving complex analytical problems. The role involves extended periods of focused, independent analysis, so we're looking for someone who is highly detail-oriented, methodical, and takes satisfaction in producing accurate, high-quality work.

Within this role you will support colleagues with gathering, cleaning, processing and analyzing data related to the operations of wind farms across Europe. You will also help to develop the tools that are used to run operational planning process and analyse wind turbine health. You will get the chance to work in an international environment with travel likely across Europe and the UK.

About the role

Gathering, pre-processing and working with large datasets from multiple, scattered sources and synthesize them into insightful reports and presentations

Supporting the business by designing and developing operational, managerial and engineering dashboards and KPI’s

Developing tools that cover the operational planning process, connecting multiple inputs from various parts of the business, and creating models to forecast of asset technical and financial risks

Job requirements and experience

  • Currently pursuing a Master's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, Business Analytics, or a related field
  • Strong analytical mindset with a passion for data, visualization, and business problem-solving
  • Hands-on experience with Power BI/Tableau, Excel, SQL, and Python
  • Familiarity with R, Databricks, Data Lakes, Hadoop, Spark, SAP ERP, Git/GitHub, or similar technologies is a plus
  • Strong communicational skills to interact with colleagues all over the world, interact with different stakeholders, and share best practices
  • Self-driven, proactive, and eager to learn new technologies and business processes
  • Ability to work within a team
  • Fluency in English, further language skills in any European language (particularly German) are beneficial, but not necessary
  • Your Benefits
  • We aim to make your time with us as rewarding as possible by fostering a supportive and inclusive environment. Alongside competitive pay and opportunities for growth, we care about your well-being and the balance between work and life. Our benefits include:
  • Flexible and hybrid working, enabling a balance between remote work and in-office collaboration
  • Opportunity to academic knowledge to real-world projects
  • Access to fitness centres or membership discounts to keep you active and energised
  • Employee Assistance Programme offering confidential guidance and support
  • Employer-subsidised canteen with fresh, high-quality meals
  • Apply with just a few clicks: ad code 93163 Any questions? Contact HR: Ebru Merdivan, [email protected] We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too. 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 RWE Renewables Europe & Australia is a leading player in the renewable energy sector with over 30 years of experience. We operate onshore wind farms as well as solar plants and battery storage systems with more than 5 gigawatts installed capacity in our core markets in Europe and Australia. Supported by a workforce of around 2,000 employees, the company is steadily expanding its renewable generation capacity in a value-accretive way. Our expertise spans the entire project lifecycle: we develop, plan, finance, build and operate wind and solar farms as well as battery storage systems. Our well-filled project pipeline is generating added value for all. Together with communities and for their future.
  • Job Segment: Computer Science, Wind Energy, Database, ERP, Energy, Technology, Part Time

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