Domain Data Engineer

About

„Getting grip on the data topic“ – Ich gestalte bei 50Hertz das Next Generation Control Center Ecosystem für eine erfolgreiche Energiewende.

Das macht diesen Job für mich interessant: In dieser Rolle arbeite ich gemeinsam mit anderen Datenspezialist*innen an der Weiterentwicklung unserer Datenintegrationsprozesse für ein sicheres und stabiles Stromnetz. Mein Schwerpunkt liegt auf dem Design, der Implementierung und dem Betrieb (teil-) automatisierter Data Pipelines, die unsere Kernprozesse mit konsistenten und qualitativ hochwertigen Daten versorgen. Dabei bringe ich meine Erfahrung in die Weiterentwicklung einer einheitlichen Datenstrategie ein und gestalte Datenflüsse, die für die Systemführung von morgen entscheidend sind. Gemeinsam managen wir hochkomplexe Datenstrukturen innerhalb des Übertragungsnetzes und unterstützen so die Umsetzung unseres Ziels: „100 Prozent bis 2032: Bezahlbare Energie für eine starke Wirtschaft“.

My Responsibilities:

• I continuously develop (data) products in the Forecasting and Planning Data domain and am responsible for their operation,
• I provide quality-assured forecast deliveries and projections for our follow-up processes and prepare data for their publication,
• I work closely with the system operation specialists to analyze and integrate internal and external data requirements,
• I participate in components of the Machine Learning lifecycle, e.g., in the areas of inference, input data validation, and quality monitoring,
• I further develop existing data integration processes, methods, and procedures in Domain Data Engineering,
• I have the opportunity to actively participate in national and European committees and working groups.

My Competencies:

• I have a completed degree in Computer Science, Electrical Engineering, Energy Technology, Regenerative / Renewable Energies, Business Engineering, or a comparable course of study,
• I am interested in complex data flows and their connection with electrical engineering fundamentals,
• I value constructive exchange and collaboration, clear communication, and an open feedback and error culture with colleagues and stakeholders,
• I have at least good knowledge of Python and SQL,
• I have experience with common development methods and tools (e.g., Git, testing frameworks, code reviews),
• I have fluent German (C1) and fluent English (B2) language skills, both written and spoken.

Not a must, but advantageous:

• I have knowledge in the development and deployment of data and forecast models,
• I have experience with the Common Information Model (CIM) in the Common Grid Model Exchange Standard (CGMES) and UCTE data formats,
• I have experience with ELT/ETL frameworks, CI/CD, deployment in Kubernetes environments with Azure, Docker containers, and streaming architectures and technologies like Apache Kafka,
• I have knowledge in the application of tools for ensuring code quality,
• Ideally, I have experience with load flow calculations and network analyses in electrical grids, e.g., with PowerFactory, pandapower, Integral, or Neplan.

Flexikompass - how flexible this position is:

• Working hours: 37 hours per week (full-time),
• Flexible working hours with a long-term account to support work-life balance,
• There is no limit to the number of flextime days,
• No core working hours,
• Mobile working (including from home) is possible.