Working Student Data Engineering - Expert Services (f/m/d)

at  EON

E.ON Digital Technology GmbH | Fixed Term | Part time
This is your opportunity to become a member of our Technology Consulting division within E.ON’s Digital Technology organization. As a partner for our businesses, our division makes a major contribution as an internal professional services organization to accelerate the delivery of E.ONs Digital Transformation Strategy. E.ON is a leading European utility company, playing a key role in shaping the energy transition and connecting everyone to good energy.
If you have a passion for technology and want to make the world a greener place, then become a changemaker (f/m/d) in our energetic and diverse team.
As a Working Student (f/m/d) in Data Engineering, you will support the design and construction of scalable data management systems, ensuring that data solutions are robust, performance-efficient, and secure. You will leverage your knowledge of cloud platforms, specifically Azure, along with data processing technologies such as Spark and Databricks, to implement solutions that effectively handle our growing data needs.

WHAT YOU NEED TO KNOW:

Job Req ID: 227137
Contract type: Fixed Term
Working time: Part time
Company: E.ON Digital Technology GmbH
Location: Berlin, Essen, Hamburg, Hannover, München, Würzburg
Function area: Consulting; Data / IoT; IT/Digital

• Building and Optimizing Data Pipelines: Develop, construct, test, and maintain architectures such as databases and large-scale processing systems using cloud technologies, with an emphasis on Azure
• Utilizing Big Data Technologies: Employ tools like Apache Spark and Databricks to process large datasets, and integrate systems for data collection, data storage, and processing
• Collaborating on Data Architecture: Work with data scientists and architects to ensure that the data ecosystem supports our operational and analytical applications efficiently
• Ensuring Data Quality and Integrity: Assist in maintaining data accuracy and accessibility while adhering to data governance and security standards