• Shape the Future of Energy: You build and optimize data products that intelligently connect and orchestrate millions of decentralized energy resources worldwide. • Develop Advanced Data Workflows: You design and implement scalable clustering and forecasting workflows based on asset measurements and complex time-series data. • Empower Energy Trading: You deliver the precise evaluations and predictions necessary for high-stakes decision-making and trading on the wholesale energy market. • Solve Scalability Challenges: You apply solid engineering and creative problem-solving to ensure millions of individual assets work together in perfect concert. • Drive Sustainable Impact: You collaborate with a growing team to deliver high-quality, impactful solutions that accelerate the global transition to a fully renewable energy system.

• Design, implement, and maintain scalable data pipelines using Snowflake, Coalesce.io, Airbyte, and SQL Server/SSIS, with some use of Azure Data Factory • Build and maintain dimensional data models to ensure high-quality, structured data for analytics and reporting • Implement Medallion architecture in Snowflake, managing bronze, silver, and gold layers • Collaborate with teams using Jira for task tracking and GitHub for code repository management • Ensure reliable ETL processes, data transformations, and data integration workflows • Help improve data modeling practices and address weaknesses in dimensional modeling

• Responsible for the design, development, and maintenance of enterprise data and programming infrastructure supporting HEDIS regulatory reporting and healthcare analytics initiatives. • Design, develop, and maintain scalable ETL/ELT pipelines • Build and optimize data ingestion, transformation, and integration processes using Python and PySpark. • Develop reliable and efficient data workflows. • Create fault-tolerant, maintainable, and high-performing data solutions. • Develop and support cloud-based data solutions utilizing GCP, Databricks, Apache Spark, and related technologies. • Design and develop reports, dashboards, and visualizations using Power BI and Tableau.

• Bewertung und Auswahl von Materialstamm-Daten als Grundlage für eine Agentic-AI-Lösung • Master Data Architecture im Kontext Materialstamm aufsetzen bzw. schärfen • Identifikation und Strukturierung der „schwierigen Fälle" im Material Creation Process • Fachliche Begleitung des Order-Management-/Material-Creation-Prozesses aus MDM-Sicht