pul liAnalyze energy data, including production, consumption, and storage information, to identify optimization opportunities /li liConduct AI-based market analysis and contribute to the development of price and energy forecasts /li liAnalyze asset data, project progress, and operational, environmental, and financial performance /li liPerform trend, variance, and gap analysis, translating findings into actionable recommendations /li liValidate data quality and perform plausibility checks to continuously improve analytical outputs /li liDevelop and maintain a central data and reporting infrastructure in close collaboration with IT teams /li liCreate KPI reports, dashboards, and data visualizations for internal and external stakeholders /li liCollaborate with management, operations, sales, and country organizations to support data-driven decision-making /li /ul h3Requirements /h3 ul liCompleted degree in Computer Science, Software Engineering, Data Science, Business Informatics, Physics, Engineering or a related field — or equivalent practical experience /li li3+ years building data pipelines that ran in production, with real users and real consequences when they broke /li liHigh proficiency in SQL, including window functions and time-series aggregation /li liStrong Python skills /li liExperience operating a time-series or analytical data store such as TimescaleDB, PostgreSQL at scale, ClickHouse, Snowflake, BigQuery, Databricks or comparable /li liPractical experience deploying and maintaining your own infrastructure /li liExperience with infrastructure-as-code, such as Terraform or similar /li liExperience with CI/CD, containers, and cloud /li liAbility to take ownership when a pipeline fails and describe subsequent improvements /li liComfortable being the sole owner of a system /li /ul h3Core Competencies /h3 pDemonstrates expertise in data analysis, including energy data optimization and AI-based market analysis, while proficiently developing data pipelines and maintaining infrastructure. Strong ability to create data visualizations and reports that support data-driven decision-making across various organizational levels. /p h3Highest-signal resume keywords /h3 ul liData Pipeline Development /li liSQL Proficiency /li liPython Programming /li liInfrastructure-as-Code /li liCI/CD Experience /li /ul h3Hard Skills /h3 ul liData Analysis /li liTrend Analysis /li liVariance Analysis /li liGap Analysis /li liKPI Reporting /li liData Visualization /li liTime-Series Aggregation /li liPlausibility Checks /li liOptimization Opportunities /li liAI-Based Market Analysis /li /ul h3Soft Skills /h3 ul liCollaboration /li liOwnership /li liProblem-Solving /li /ul h3Industry Keywords /h3 ul liEnergy Data /li liData-Driven Decision-Making /li liOperational Performance /li liEnvironmental Performance /li liFinancial Performance /li /ul h3Tools Technologies /h3 ul liTimescaleDB /li liPostgreSQL /li liClickHouse /li liSnowflake /li liBigQuery /li liDatabricks /li liTerraform /li liContainers /li liCloud Infrastructure /li /ul /p #J-18808-Ljbffr
Energy Data Engineer, Developer in Zug Arbeitgeber: Jobtailor
Als Front Office Supervisor in unserem dynamischen Team bieten wir Ihnen die Möglichkeit, in einem unterstützenden und freundlichen Arbeitsumfeld zu wachsen. Wir legen großen Wert auf die berufliche Entwicklung unserer Mitarbeiter und bieten regelmäßige Schulungen sowie die Chance, Verantwortung zu übernehmen. Unsere Lage ermöglicht es Ihnen, Teil einer lebendigen Gemeinschaft zu sein, während Sie gleichzeitig die Standards unseres Franchise-Partners einhalten und unseren Gästen einen unvergesslichen Aufenthalt bieten.
