E.ON Digital Technology GmbH | Permanent | Part or Full time

You have a passion for technology and want to make the world a greener place?

Join the forefront of energy transition with E.ON's Digital Technology organization, as part of our technology in-house consulting, Expert Services. As a professional services organization, we collaborate closely with our business units, providing pivotal services that accelerate E.ON's ambitious Digital Transformation strategy.

If you have a passion for leading the green transition with digital innovation, become a playmaker in our energetic and diverse team of more than 500 Expert Services consultants.

It's on us to make new energy work!

The Team - your impact

We offer a unique opportunity to combine your passion for technology with meaningful work on socially relevant topics. Become part of our international team of over 130 data scientists and engineers, where you'll benefit from deep expertise while also contributing your own experience. You will have the opportunity to consult our business stakeholders on technical matters and their feasibility while also directly implementing state-of-the-art machine learning solutions. We leverage a wide range of methodologies, including NLP, computer vision, forecasting, optimization, and many others, across various applications. With a strong focus on cutting-edge resources and platforms (Azure, AWS, Databricks, OpenAI, among many others), we provide an optimal technical infrastructure, along with free training and certification opportunities.

Your Role - meaningful & rewarding

• Design, implement, and maintain scalable and efficient data models and data warehousing solutions to support business intelligence and analytics needs.
• Write and optimize complex SQL queries for data extraction, transformation, and loading (ETL) processes.
• Develop and maintain automated data pipelines using Python to ensure accurate and timely data flow.
• Work with cross-functional teams, including data scientists and analysts, to ensure data is structured and available for analysis and reporting.
• Evaluating emerging data technologies to efficiently integrate state-of-the-art data solutions and analytical modules into operational cloud environments.
• Staying up-to-date with the latest advancements in data engineering, AI, and technology trends to drive innovation.

Your Profile - authentic & open-minded

required:

• Strong experience with SQL and data modeling, particularly in data warehousing and ETL processes.
• Excellent Python programming skills, with experience in building and automating data pipelines.
• A solid understanding of data engineering best practices, including data quality, scalability, and performance optimization.
• Strong problem-solving skills and the ability to work independently and in collaboration with other technical teams.
• Proficient in German (both written and spoken) to effectively collaborate with German-speaking teams

desired:

• Experience with Snowflake or Databricks for data storage, processing, and analytics in the cloud.
• Familiarity with Azure Data Factory (ADF) for building and automating data workflows in Azure.
• Experience with dbt (Data Build Tool) for transforming and modeling data.
• Experience with Apache Airflow or other orchestration tools for scheduling and managing complex data workflows.
• Experience with version control using Git for managing and collaborating on code changes.
• A first experience or interest in growing within the field of Data Science.

Our Benefits - smart & useful

• Enjoy flexibility: You can combine coming to the office and working from home flexibly. It's even possible to go on workation for up to 20 days per year within Europe.
• Advance your development: We grow and we want you to grow with us. Learning on the job, exchanging with others, or taking part in an individual training - our learning culture enables you to bring your personal and professional development to the next level.
• Get connected: Take the opportunity to engage in our Digital Empowerment Communities for collaboration, learning, and network building.
• Recharge your battery: You have 30 days of paid vacation per year plus Christmas and New Year's Eve off. Your battery still needs charging? You can exchange parts of your salary for more paid vacation or you can take a sabbatical.
• Elevate your mobility: From car and bike leasing offers to a subsidised Deutschland-Ticket - your way is our way.
• Think ahead: With our company pension scheme and a great insurance package we take care of your future.
• This is by far not all... We are looking forward to speaking with you about further benefits during the hiring process.

Do you have questions?
For further information please contact the Talent Acquisition Team, EDT_Talent_Acquisition@eon.com.

Please understand that for data protection reasons we can only accept applications submitted via our portal. Unfortunately, we cannot consider application documents that reach us by email or post.

What you need to know:
Job Req ID: 236157
Contract type: Permanent
Working time: Part or Full time
Company: E.ON Digital Technology GmbH
Location: München, Hannover, Würzburg, Berlin, Hamburg, Frankfurt am Main, Essen
Function area: Data / IoT; Consulting; IT/Digital