Job Description

In this role, you will work closely with business stakeholders, software engineering teams, SAP integration experts, and data engineering teams to design and deliver trusted datasets and analytical solutions that support operational excellence, decision-making, and innovation across the company.
We’re looking for someone who enjoys understanding complex business processes, translating them into meaningful data products, and helping shape the future of our analytics landscape.
If you are curious, collaborative, and passionate about turning data into business value, we’d love to hear from you.

What you will do to help drive the energy transition:

• Partner with business stakeholders and subject matter experts to understand analytical needs, identify opportunities, and define requirements for data products and analytical solutions.
• Translate business requirements into scalable data models, curated datasets, and actionable insights that enable data-driven decision-making.
• Design, develop, and maintain data products by integrating data from operational systems, backend services, SAP solutions, and other internal and external data sources.
• Collaborate with software engineering and data engineering teams to ensure reliable integration of data into sonnen’s analytics platform and data ecosystem.
• Contribute to the evolution of our data architecture, data governance, and analytics strategy, helping establish sustainable and scalable data products.
• Develop and maintain data transformation logic, analytical datasets, and semantic models that support reporting, analytics, and advanced use cases.
• Implement data quality controls, monitoring mechanisms, and validation processes to ensure data accuracy, consistency, and trustworthiness.
• Drive continuous improvement of our data products and analytics capabilities by identifying gaps, opportunities, and emerging technologies.
• Ensure high standards for documentation, maintainability, and software engineering practices using version control and collaborative development workflows.
  
  What you will need on that journey:
  
  
  
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
• 3+ years of professional experience in Data Engineering, Analytics Engineering, Data Analytics, Data Architecture, or a similar role.
• Proven ability to work effectively with both business and technical stakeholders and translate business requirements into technical solutions.
• Experience designing and implementing data models, curated datasets, and analytics-ready data structures.
• Understanding of modern data architecture concepts, data warehousing, and lakehouse platforms (e.g., AWS Redshift, Databricks).
• Experience working with structured and unstructured data from multiple operational systems and APIs.
• Strong knowledge of Python, SQL, REST APIs, and data transformation frameworks.
• Familiarity with data quality management, governance principles, and monitoring practices.
• Ability to contribute to strategic discussions around data architecture, data products, and analytics enablement.
• Experience in cloud-based analytics environments is highly desirable.
• Fluency in English; German is a plus.