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Join us in this role where you’ll develop and maintain Python-based solutions that support trading strategies, data visualisation, and market analysis, enabling us to maximise value from our renewables portfolio in a fast-moving environment.
Welcome to Business Development
You’ll be part of the Trading and Data Analytics team where you, together with your colleagues, will manage our portfolio through the creation of trading strategies, data visualisations, and market analysis. We work closely with traders and IT in an informal, collaborative, and energetic setting to deliver solutions that make a direct impact on revenue.
As a team, we value curiosity, collaboration, and a proactive mindset.
You’ll play an important role in:
Shape the future with us
Send your application to us as soon as possible. We’ll be conducting interviews on a continuous basis and reserve the right to take down the advert when we’ve found the right candidate.
As an applicant or employee, you may request reasonable work and position accommodation or adjustments via [email protected].
Please note that for your application to be taken into consideration, you must submit your application via our online career pages and answer the screening questions relevant for your country. We don't take applications or inquiries from external recruiters or agencies into account for this position.
Welcome to Business Development
You’ll be part of the Trading and Data Analytics team where you, together with your colleagues, will manage our portfolio through the creation of trading strategies, data visualisations, and market analysis. We work closely with traders and IT in an informal, collaborative, and energetic setting to deliver solutions that make a direct impact on revenue.
As a team, we value curiosity, collaboration, and a proactive mindset.
You’ll play an important role in:
- writing and maintaining Python code across existing and new systems
- improving reliability, performance, and maintainability of core services
- working closely with IT to design and manage robust data pipelines
- developing tools that optimise our onshore wind and green supply market positions
- creating trading strategies aimed at maximising profits for our renewables portfolio
- balancing feature delivery with refactoring and technical debt reduction.
- have strong analytical skills and proven experience working with Python and SQL (data and ML stack)
- are curious and driven to create value through data and automation
- have a passion for power markets and the broader energy transition
- are proactive, resourceful, and comfortable navigating trade-offs between speed and quality
- enjoy working in a collaborative environment and contributing to team success.
Shape the future with us
Send your application to us as soon as possible. We’ll be conducting interviews on a continuous basis and reserve the right to take down the advert when we’ve found the right candidate.
As an applicant or employee, you may request reasonable work and position accommodation or adjustments via [email protected].
Please note that for your application to be taken into consideration, you must submit your application via our online career pages and answer the screening questions relevant for your country. We don't take applications or inquiries from external recruiters or agencies into account for this position.
Key Skills
Ranked by relevance
python
sql
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- Posted
- Jan 23, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Cork
- Company
- Ørsted
Industries
Civil Engineering
Oil
Gas
Renewable Energy Semiconductor Manufacturing
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Data Scientist (m/w/d) Process Mining & Predictive Process Analytics
2026-06-17
Full-time
Not Applicable
Germany
Industrial Machinery Manufacturing
Engineering
View Job Details
Related
Full Stack Developer - Integration & Data
2026-06-18
Full-time
Mid-Senior
Australia
Retail Apparel
Information Technology
View Job Details
Related
Werkstudent (m/w/d) Machine Learning
2026-06-17
Full-time
Not Applicable
Germany
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Engineering