Working Student Python/Plotly Developer Market Data (f/m/d) - remotely possible

• Interesting and challenging roles open up diverse perspectives for personal development
• We are characterized by our collegial teamwork and modern workspaces
• Various events provide opportunities for our students to network and talk to others as part of the Studi-Energy Program
• Flexible working time models make it possible to balance work and study
• Attractive remuneration opens up a range of possibilities: 2.000 € gross salary per month for all interns and those writing their thesis and gross pay starting at 16 € per hour for working students studying for a bachelor’s degree and 18 € for those on a master’s degree course

• As a working student, you will develop and maintain components in Python (Plotly), ensuring clean, modular, testable, and well-documented code through code reviews
• You Integrate 3rd party cloud components (e.g., Snowflake, SNS, Kafka, DataDog) and collaborate remotely with developers and business analysts across locations
• You present the design system to stakeholders from a technical perspective and continuously improve and optimize the system based on user and stakeholder feedback
• You stay up to date with the latest backend and frontend technologies, trends, and best practices, and apply them to the design system as needed
• In addition you participate in community building activities around the market data

• You are studying in Bachelor oder Master
• Ideally, you have already gained some experience in development with Python (knowledge in Plotly would be beneficial)
• You have an affinity for writing Clean Code
• Done first steps in data analytics
• You have Knowledge in git (merge, rebase, cherry-picking, etc.) and the usage of CI/CD tools and practices, such as Azure DevOps
• You are strong analytical and problem-solving skills
• Your proficient in English; German is a plus and knowledge of the energy trading sector are advantageous

EnBW is one of the largest energy supply companies in Germany and Europe, providing electricity, gas, and energy-related products and services to 5.5 million customers. Trading IT supports the trading business with a range of tools, methods, and services.

EnBW Trading relies on extensive data about Trade Lifecycles, Markets, Meteorological Data, Asset Data, and Client Insight. Trading decisions are data-driven, using flexible solutions to gather, transform, transport, manipulate, visualize, and extract data.

Timeseries data is crucial for Energy Trading Services, defining renewable energy availability, power prices, and power plant schedules. The Market Data & Fundamentals Service collects and distributes thousands of timeseries data objects in real-time, near-time, and through analytics components 24/7.

Due to the importance of Timeseries data, we are re-implementing our services to be cloud-centric, using C# (Backend) and Angular/Typescript, along with Snowflake, Kafka, Kinesis, and other data-centric and 3rd party software components.

The team works remotely most of the time, but we meet regularly at our offices in Karlsruhe, Germany. Paired with our flexible working times, this ensures you work where (in Germany) and when it suits you best.For you, remote means: You have the opportunity to work from home throughout Germany.

Unser Recruitingteam stellt neben der EnBW für weitere Konzerngesellschaften ein. Bei Fragen steht Bianca Steinert | b.steinert@netze-bw.de gerne zur Verfügung.Alle Menschen sind bei uns willkommen, egal welchen Geschlechts, Alters, sexueller Identität, Herkunft, Religion, Weltanschauung, mit oder ohne Behinderung.