Állás részletei
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Cég neve
MOL Nyrt.
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Munkavégzés helye
1117 Budapest, Dombóvári út 28. -
Fizetés
Bónusz -
Egyéb juttatások
- Mobiltelefon
- Cafeteria
- Szakmai tréningek
- Egészségbiztosítás
- Beiskolázási támogatás
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Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
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Elvárások
- Angol felsőfok
- 1-3 év tapasztalat
- Főiskola
Állás leírása
Tasks
The purpose of the position is to contribute to and coordinate Downstream optimization processes and related economic analyses. The role supports business decision‑making by preparing recommendations for business units based on optimization results, crude economics and supply chain analyses. The position plays a key role in planning, margin management and tactical scheduling, while actively contributing to the continuous development of optimization models, tools and related data frameworks.
MAIN RESPONSIBILITIES & TASKS
Optimization, Planning & Economics
Support and coordinate Downstream optimization processes and economic analyses with key focus on Danube Refinery optimization
Prepare business recommendations based on optimization results and crude economics
Contribute to Business Plan and Tactical Plan preparation and scenario selection
Support margin management and tactical scheduling with economic insights
Prepare crude evaluations, inventory and maintenance‑related economic analyses
Development, Data & Performance
Ensure high‑quality input data for optimization and challenge constraints impacting profitability
Identify supply chain bottlenecks, synergies and key value drivers
Contribute to improvement of optimization models, tools (PIMS) and reporting solutions
Support Group‑level performance monitoring and share insights with stakeholders
Promote understanding of optimization and Downstream economics within MOL Group
Requirements
Education, Experience & Knowledge
BSc or MSc degree in Engineering, Economics or a relevant field
2-3 years of experience in scheduling, production and energy controlling, optimization, economics or related Downstream areas
Strong understanding of Danube Refinery processes, with Group‑level overview of downstream technologies
Sound knowledge of business processes, modelling and optimization logic
Skills, Languages & IT
Team player with strong result orientation and business mindset
Confident decision‑making and stakeholder focus
Fluent English; local language knowledge is an advantage
PIMS – skilled user
MS Office – advanced level
Power BI – skilled user
What we offer
Competitive salary and benefits:
yearly 800.000 huf cafeteria
private Medicare white health insurance
life and accident insurance
13th month salary as a Christmas bonus
cellphone for private use as well
Professional trainings and a challenging environment to continuously develop yourself
Multinational, dynamic environment
Stable company background
Complex, end-to-end processes
Work in the new MOL Campus building
Workplace extras
- Canteen
- Cafe
- Medical assistance
- Shower
- Corporate events
- Company bus
- Bicycle storage
- Parking
- Sports facilities
- Kindergarten
- Dog friendly
- Free fruits, snacks
- Play corner
- Work clothes
Company info
MOL Group is an independent and international oil and gas company, headquartered in Budapest, Hungary. We are active in more than 40 countries with a dynamic international workforce of 26,000 colleagues and a track record of over 100 years in the industry.
Are you interested in understanding the full value chain of Downstream optimization?
Do you enjoy working with complex economic models and translating optimization results into business decisions?Are you motivated to support planning, margin management and tactical scheduling with strong economic insights?
Do you want to work closely with refineries, petrochemical assets and business units across the Group?
Are you looking to grow your career in a dynamic, international and professionally challenging environment?
Join MOL Group Downstream Value Chain Management as an
Product Optimization Expert
Location: MOL Campus, Budapest (on-site)
Your background: experience particularly in managing Danube refinery optimization tasks
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