Working Students - Data Science

• Assist in creating, customizing, and maintaining ETL/ELT pipelines to ensure automated and reliable data flows from various sources to central repositories.
• Create scripts and automation for data integration and transformation using python
• Monitor pipelines for failure, investigate and implement solutions
• Work directly with Data Analysts to understand their data requirements and translate them into technical solutions.
• Document data engineering processes, schemas, and business logic to facilitate knowledge sharing within the team
• Engage in agile concepts such as code reviews, pair programming, and sprint retrospectives to ensure code quality and team alignment., After the vacancy closes, our recruiters carefully review all applications-this typically takes up to 10 working days. You can find the name of the responsible recruiter listed in the job ad. 3

Online test

For some positions, an online test is part of the selection process. If applicable, you'll receive an email with clear instructions and a deadline to complete the test. 4

Interview

If your profile aligns with the role, we'll invite you to an interview-either online or in person. The first conversation focuses on your experience and motivation. If successful, a second interview may follow, giving us both the chance to explore your fit with the team and introduce you to future colleagues. 5

Assessment

For certain roles, such as leadership or trainee positions, we may include an additional assessment to explore specific competencies in more detail. 6

• You are studying mathematics, engineering sciences, physics, economics, computer science or a comparable course of studies and are at least in the third semester of your Bachelor's degree or in your Master's degree

• You are interested in electricity market fundamentals

• You have experience with Python and analytic libraries (Pandas, Numpy). You enjoy programming and are interested in making dashboards in PowerBI

• Fluent in English

• Enthusiastic about working close with other members of the team - sharing ideas and developing together

• Ability to work independently and prioritize own work, taking initiative to improve processes when required

• Nice to have:

• knowledge about docker images and containers

• knowledge about any cloud platform (preferably azure)

• Knowledge about timeseries data format

• Experience with any orchestration tool

Vattenfall is a leading European energy company driving the transition to a sustainable energy system. We have been electrifying industries, powering homes and transforming life through innovation for more than 100 years and now have a mission of working for fossil freedom. We employ around 20,000 people mostly in our core markets in Sweden, Germany, the Netherlands, Denmark, and the UK. At Vattenfall, we don't just "do energy", we exist to help our customers power their lives in ever climate smarter ways and free from fossil fuel within one generation. If you are looking for interesting challenges and the opportunity to be part of this change, then join our diverse and talented team and make a difference! Within Vattenfall, Business Area (BA) Markets optimizes assets and effectively sources and trades commodities, thus ensuring best value for both Vattenfall and our customers. BA Markets is active across Europe with around 450 professionals working from Sweden, Germany, the Netherlands, and the UK. In Fundamental Analysis we provide fundamental forecasts to support decision making regarding investment decisions, PPA pricing, asset dispatch and planning, and potential trading strategies, in order to support Vattenfall becoming fossil free within one generation. Working at Vattenfall means more than 'just' having an interesting job in a result-oriented culture. Here you will be part of a challenging, complex and international work environment.