Job
- Level
- Experienced
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Saarbrücken
- Working Model
- Onsite
Job Summary
In this role, you will model energy systems, develop optimization models for heat generation plants and district heating networks, and integrate data from various sources to optimize energy processes.
Job Technologies
Your role in the team
- Your responsibilities include, for example, modeling heat generation systems. This involves mathematically representing plant locations as optimization models — from master data collection (boilers, CHP units, thermal storage) to defining cost functions and integrating them into automated optimization runs.
- Another task involves modeling district heating networks. This includes representing the thermohydraulic properties of heat networks (temperature profiles, heat losses, hydraulic restrictions) as part of the overall optimization.
- Development and maintenance of optimization models: formulation and further development of mathematical programs (LP/MILP) for cost-optimal scheduling of thermal generation units, considering technical constraints, energy prices, and heat demand forecasts.
- Configuration and Parameterization: Development and maintenance of the model-side mapping of facilities and networks in a configuration-driven optimization system - including cost functions, facility parameters, and data connections.
- Operational Support: Monitoring of production optimization runs, analysis of model results, identification and correction of deviations, and continuous improvement of model quality.
- Data Integration: Connecting and processing time series data (meter data, weather data, energy prices) from various source systems via cloud-based data pipelines.
- Team collaboration: Support in modeling additional plant locations as well as knowledge transfer and coordination with colleagues from operations, energy industry, and IT.
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Our expectations of you
Education
- You have successfully completed a master's degree in industrial engineering, energy technology, process engineering, mechatronics, mathematics, computer science, or a comparable field of study.
Qualifications
- Understanding of energy industry contexts, particularly heat generation, CHP systems, and district heating networks.
- Understanding of technical-physical relationships in energy generation plants.
- Knowledge of thermohydraulics of heating networks (temperature behavior, heat losses, hydraulic boundary conditions).
- Ability to translate complex technical issues into mathematical models.
- Teamwork skills, structured working approach, and initiative.
- Good knowledge of German and English.
Experience
- In addition, you have 3 years of professional experience in the field of mathematical optimization, energy industry, or modeling of technical systems (linear and mixed-integer programming).
- Programming experience in Python, ideally with optimization frameworks (e.g., Pyomo, PuLP, or comparable).
- Experience with optimization solvers (e.g., Gurobi, CPLEX, HiGHS).
- Experience in processing large data volumes in a cloud environment (e.g., Azure, Databricks, or comparable platforms).
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What we offer
- Working in an agile and dynamic team.
- Promotion / Support in the further development of personal and professional skills.
- Our Iqony company bike leasing and other diverse offers for employees, for example on health topics.
- Central location with good transport connections.
- Collective agreement-based salary structures.
- Company pension scheme.
- Work-life balance.
- 30 vacation days.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Iqony Gmbh
Iqony GmbH is an established international service company specializing in renewable energies and digitalization. It provides comprehensive services for industrial and municipal clients.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Power Sector, Economy