BEW Berliner Energie und Wärme GmbH | Germany | 10xxx, 14xxx, 13xxx, 12xxx Berlin | Student job | Part time - flexible / Home office | Published since: 29.10.2026 on stepstone.de ♿️
Working student in the field of data management and monitoring engineering
Heat and energy are our contribution to the quality of life – every day new. As BEW Berliner Energie und Wärme GmbH we supply our customers with electricity and heat. Our district heating network is the largest Western Europe with a length of more than 2,000 kilometres. We supply about one third of the Berlin apartments with district heating. With the know-how of our around 2,400 employees, we cover the entire value chain of district heating – from production to grid operation and expansion to distribution. In parallel, we work with high pressure at the coal exit until 2030 and on a climate-neutral* heat generation from 2045. To achieve this goal, we will gradually expand the share of renewable energies and unavoidable waste heat** in our district heating system. This expansion requires a fundamental transformation of many of our sites and plants. For this challenge and the associated tasks, we need people who are fully committed to our common goal of a local heat transition – people like you. For BEW Berliner Energie und Wärme GmbH we are looking for you as a working student at the next possible time: in the field of data management and monitoring engineering at the Berlin site. The Monitoring Performance and Technology department monitors the state, performance and efficiency of the energy production plants and supports operation and maintenance with data-based technical reviews. For this purpose, operating and state data are combined, processed, analyzed and made usable in monitoring models, dashboards and reports. Our existing monitoring solutions must be continuously maintained, checked and adapted to changes in systems, measuring points and data structures. For these operationally important tasks we are looking for support with technical understanding, care and interest in energy-related data. .
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Your tasks • Your profile • What we offer
Your tasks You support the maintenance and quality assurance of our technical monitoring, for example for processes, components, vibrations, water quality and plant performance. You will check operating and measurement data for completeness, plausibility and consistency and will support the cleaning of incorrect, missing or no longer required data. You provide technical data structures, metadata and plant hierarchies as well as the assignment of measuring points, components and monitoring models. You support the development of monitoring models, dashboards and technical visualizations, especially in PI Vision and Power BI. You carry out data processing and technical evaluations and search for relevant information from plant and operating documentation. You document data sources, calculation bases, model logics and changes structured and comprehensible. You can use to standardize and automate recurring work steps. You prepare analytical and monitoring results for reports, presentations and cooperation with our departments in a comprehensible manner. What awaits you A practical insight into the technical monitoring of an extensive energy production portfolio. Work with real operating, state and performance data. A connection from data management, technical engineering and energy-related issues. Clearly delimitable tasks with direct benefit for the availability and efficiency of the plants. Cooperation with experts from monitoring, operation, maintenance, engineering and information technology.
You are immatricated:rStudent:in, preferably in a technical or data-oriented field, for example: Energy and Process Engineering Process engineering Electrical engineering Energy technology Information Data Engineering Data Analytics Industrial engineering or a comparable subject. You have a good technical understanding and interest in energy production plants and industrial processes. You work carefully, structured and reliable, especially when processing larger amounts of data. You can document technical facts and processing steps comprehensiblely. You have good knowledge in Microsoft 365, especially Excel. Ideally, you have first knowledge in one or more of the following areas: OSIsoft or AVEVA PI System, PI AF, PI Vision or DataLink Power BI Databases and structured data storage Python, SQL or comparable tools technical data analysis and measurement data evaluation. Basic knowledge of power plant processes, district heating systems, thermodynamic processes or maintenance are advantageous. You have very good German knowledge in word and writing, at least C1. You work independently, but at the same time you like to vote with colleagues:inside and professional contact persons.
You have at least 6 months and can support us with at least 20 hours a week. Flexible design of your working day with the possibility to work in the home office Needed technical equipment will be provided to you Individual development and development of your professional network Improved access opportunities after completed studies Organic operating restaurant as well as free drinks (water, tea, coffee) and fruits at almost all locations Various offers on health, e.g. support by PME family service We are convinced that diversity contributes to making our company more powerful and attractive. Applications for people of any age, gender identity, sexual orientation or ethnic-cultural background are welcome. Disabled people are particularly taken into account with the same professional suitability. The security of the EMU and its employees is of fundamental importance. For this reason, pre-employment screening is part of the recruitment process. The scope of the review varies depending on the function and range of use. The screening is carried out by a third party, Signum Consulting GmbH, DISA. .
Location
![]() | BEW Berliner Energie und Wärme GmbH | |
| Berlin | ||
| Germany |
The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.
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