Data Engineer (m/w/d)

Job Description

Clean and affordable energy for all is one of the greatest challenges of our time. Sonnen has been committed to this mission since 2010 and is now represented in Europe, the USA and Australia with over 1,000 team members globally. In Germany, our offices are located in the beautiful Wildpoldsried (Allgäu) and the vibrating heart of Berlin Kreuzberg.

At sonnen, we are building the energy system of the future. To this end, we are developing new technologies and business models that have not existed before. Whether intelligent power storage, virtual power plants or digital services - we set the trends of a new energy world. That means, among other things, the inexpensive production and storage of renewable energy and the intelligent networking of producers and consumers. sonnen thereby gives people around the world the opportunity to become independent of fossil fuels and conventional energy supplier.

We are growing steadily and are looking for people who want to join us in our vision of clean and affordable energy for all while making a positive impact on climate change.

We are seeking for a Data Engineer who will empower sonnen's business with data-driven insights, services and products with the help of sonnen's AWS-based analytics platform and by provisioning data from various sources from within and outside the company.

We're looking for someone who shares our values, who isn't afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don't hesitate to get in touch.

What you will do to help drive the energy transition

• You develop and maintain data analysis processes with a variety of structured and unstructured data sources.
• You implement, test, and maintain infrastructural components of sonnen's analytics platform and deploy and maintain data models.
• You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
• You collaborate with the business SMEs and stakeholders to understand their data requirements and support their analysis and modeling needs.
• You adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Gitlab).
• You stay up-to-date with emerging trends and technologies in data engineering, and assess their potential applications to our business needs.

What you will need on that journey

• You hold a bachelor's degree in Computer Science or a related technical field.
• You have 3+ years of relevant employment experience (Data Scientist, Engineer or Architect).
• You have experience with data architecture and warehousing solutions (e.g. AWS Redshift, Databricks).
• You continue to enhance the existing platform, creating the technical foundation for scalable processes. Both data and result quality are important to you.
• You have good knowledge of Python, Pandas, SQL, NoSQL, RestAPI.
• You are fluent in English. German is a plus.