Backend Developer / Data Engineer (f/m/d)

As a Backend developer / Data Engineer (f/w/d), you will build and guide your team of Data Engineers who are responsible for enabling technically translated business requirements into analytical products, helping to bring new insights alive. As a leader, you will be at the forefront of our transformation journey to become a data driven company in future.

Passionate about the environment and climate change? Ready to be part of the future of the energy transition? The Siemens Energy Data Analytics & AI team plays a significant role in driving the energy transformation.

Our team is looking for innovative, enthusiastic, and versatile data, digital, and AI professionals that will drive us forward on this exciting venture.

How You’ll Make an Impact

• Drive technical implementation and accountability for strategy and execution
• Determine the scope of the Minimum Viable Product (MVP) for upcoming initiatives and outline the future roadmap for enhancements and potential improvements
• Collaborate with data owners on planning and execution of key initiatives
• Oversee the performance and quality of integration pipelines created in close collaboration with the data integration team
• Drive architecture design and discussions with guidance from the teams
• Promote data literacy towards visualization through self-service capabilities for end users
• Advocate for modern software development methodologies and champion Scrum and SAFe
• Conduct code reviews and ensure teams adhere to appropriate standards
• Document and present methods, procedures, and project deliverables to senior stakeholders in various functions

• Extensive experience leading data architectures and data-related initiatives, as well as leading a data operations team
• In-depth understanding and knowledge of data acquisition, data modeling and analytics
• Extensive experience in data & analytics and data architecture and at least 3 years of experience as a team leader
• Extensive and in-depth knowledge of database and data warehouse modeling
• Experience developing streaming and batch data pipelines for cloud and hybrid infrastructures
• Experience with streaming frameworks (e.g., AWS IoT stack) and hands-on experience with modern software development tools
• Extensive experience in data analytics and the ability to slice and dice data as needed
• Experience with cloud providers in data architecture (e.g. AWS)
• Knowledge of data warehouses that support analytical workloads
• Extensive and in-depth experience working with ETL