Siemens Energy

Principal Data Engineer

Job description

A Snapshot of your Day

Passionate about the environment and climate change? Ready to be part of the future of the energy transition? The Siemens Energy Enterprise Data & Advanced Analytics organization creates and enables Data and AI-driven solutions and the corresponding governance and platform to grow and optimize the Siemens Energy businesses and operations.

Given the scale of the challenge we need many types of perspectives to help reimagine the future. And honestly, we can’t do it alone. Our team is looking for innovative, enthusiastic, and versatile data, digital, and AI professionals that will drive us forward on this exciting venture.

The Data Strategy & Innovation tower has the responsibility of developing and delivering the enterprise data and AI strategy to align with business priorities and outcomes, while pushing R&D efforts to advance leading edge analytics capabilities. We are also responsible for managing portfolio of investments, external relations, partnerships, and allocation of funds to meet our organization’s objectives.

As the principal data engineer for our Enterprise Data & Advanced Analytics organization, you have the opportunity to reengineer how we provision and make data safe, reliable, and accessible to all of Siemens Energy.

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

How You’ll Make An Impact / Responsibilities

  • Drive technical delivery and be accountable for overall data engineering strategy, data orchestration architecture, and our data operations execution framework
  • Define standards and design patterns to optimize data sharing without sacrificing flexibility, promote scale and a composable data landscape that will serve are current and future data needs.
  • Act as a product owner of our data platform and technology services to define the platform requirements and roadmap.
  • Collaborate with data owners and data delivery teams to design and execute key initiatives, defining minimum viable product (MVP) scope for the upcoming initiatives and outline future roadmap of enhancements and potential improvements
  • Work with enterprise architects and our IT and software engineering organizations to define data integration requirements, and the right access control framework to facilitate data provisioning at scale
  • Create the framework to monitor and manage the performance and quality of integration pipelines
  • Advocate modern ways of software development and being an ambassador for scrum and SAFe frameworks
  • Drive and conduct code reviews and ensure that teams adhere to the respective standards and best practices
  • Contribute to cross-functional problem-solving sessions with your team and deliver presentations to colleagues and clients
  • Keep up to date of latest developments in data science and data engineering, and keep up to date with state-of-the-art technology to best support the business in making truly data-driven decisions
  • Document and present methodologies, procedures, and project results to stakeholders and data professionals across different functions

What You Bring / Skills, Capabilities

  • Extensive experience in the field of Data & Analytics and Data Architecture and at least 5+ years of experience as a team lead
  • Excellent understanding and working knowledge of data ingestion, data modelling & analytics with broad and in-depth expertise in database and data warehouse modeling
  • Experience in developing streaming and batch data pipelines for both cloud and hybrid infrastructures and with streaming frameworks (e.g. AWS IoT stack)
  • Hands-on experience with modern software development tools
  • Extensive data analysis experience and the ability to slice & dice data as needed
  • Experience with cloud providers in data architecture (e.g. AWS)
  • Good to have: Experience in an industry-related environment (e.g. energy sector).
  • You have a strong customer focus and excellent communication skills along. You navigate easily in a global & multicultural environment .
  • You demonstrate exceptional leadership and coaching skills to collaborate across multicultural, global teams and develop engineering talent
  • You are open-minded, love to learn and constantly improve own skills
  • You have excellent writing and communication skills in English, knowledge of German or any other language is a plus.
  • Proven experience in navigating complex, matrixed organization, and driving outcome at scale

About The Team

The Data & Advanced Analytics organization has been established and designed to help Siemens Energy achieve our mission by becoming a data driven organization. Treating and using data as a strategic asset enables us to support customers in transitioning to a more sustainable world, by using innovative technologies and bringing ideas into reality.

Check out this video to see what we do here!

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. With more than 92,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we’re also using our technology to help protect people and the environment.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fuelled by over 130 nationalities. Siemens Energy celebrates character - no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

We value equal opportunities and welcome applications from people with disabilities.

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