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As a Lead 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 the 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.
LET'S TALK ABOUT YOU Your profile 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.
Your responsibilities Lead a team of data engineers focused on leveraging data and information across the SE to improve data-related operations and gain risk-related insights.
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.
LET'S TALK ABOUT US "Let's make tomorrow different today" is our genuine commitment at Siemens Energy to all customers and employees on the way to a sustainable future. In our Business Functions , we enable our organization to reach their targets by providing best-in-class services and solutions in the areas of IT, HR, Finance, Real Estate, Strategy & Technology, and more.
MORE INSIGHTS We value equal opportunities and welcome applications from people with disabilities.
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