Energy Data Engineer & Developer in Zug

ppDrive the energy transition by providing sustainable technological solutions through our digital platform, facilitating from planning to contract tendering to implementation of renewable energy systems in real estate and industrial companies. We enable our customers to increase the economic efficiency and CO2 balance of their properties while minimizing technical, commercial, and energy risks. /p pTo strengthen our Product Management team, we are looking for an bEnergy Data Analyst Developer /b who will contribute to the analysis of energy data, support the development of AI-based price and energy forecasts, and generate actionable insights through the analysis of operational and financial performance. Join this energy revolution and help us transform energy supply in a sustainable and economically viable way! /p h3Tasks /h3 ul 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 as well as 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 closely 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 — not proofs of concept /li liHigh proficiency in SQL, including window functions and time-series aggregation, and strong Python /li liExperience operating a time-series or analytical data store — TimescaleDB, PostgreSQL at scale, ClickHouse, Snowflake, BigQuery, Databricks or comparable /li liPractical experience deploying and maintaining your own infrastructure: infrastructure-as-code (Terraform or similar), CI/CD, containers, cloud /li liYou have been on the hook when a pipeline failed, and can describe what you changed afterwards /li liComfortable being the sole owner of a system — you will have a team around you, but nobody will be assigning you tickets for the parts you own /li /ul h3Benefits /h3 ul liAn attractive salary package and exciting development opportunities /li liFurther training in renewable energies and project management /li liA dynamic, innovative environment with short decision-making processes and plenty of creative freedom /li liThe opportunity to play an active role in the energy transition and make a real impact /li /ul /p #J-18808-Ljbffr