Application deadline
12 September 2025, 23:59 BST
Country
Ireland
Location
Cork
Workplace
Hybrid (office and home-working)
Working hours
Full-time
Employment type
Permanent
Legal entity
Orsted Onshore Ireland Holdings Ltd
Why join?
Attractive parental leave package
Focus on good work-life balance
Proven high employee satisfaction and motivation
Competitive health insurance
Join us in this role where you'll Join us in this role where you'll get the opportunity to build and maintain data engineering solutions in close cooperation with data scientists and architects and a variety of business stakeholders. We operate in an agile, global matrix organisation where you'll collaborate with domain experts to deliver value to the business from an IT organisation of nearly 1,500 employees.
Welcome to Agile Release Train Trading Express
You'll be anchored in Ørsted IT and be part of Trading Express where you, together with your colleagues, will be central to our data strategy and involved in designing and managing data flows which are essential to the enablement of our business platforms. You'll cooperate closely with colleagues such as traders, analysts, developers, and integration specialists.
As a team, we foster a collaborative, diverse, and inclusive work environment where we take full ownership, offer flexibility, and value a combination of being in the office and working from home.
You'll play an important role in:
* developing and maintaining secure, monitored, and peer-reviewed data ingestion pipelines for trading-related data
* coding and maintaining the wind farm trading processes in our in-house trading system
* modernising our database stack by migrating from outdated systems to a more lightweight, modular architecture
* driving the evolution of our data landscape, ensuring it meets current and future needs
* collaborating with stakeholders, primarily trading, back office, and analytics teams, to identify inefficiencies and propose innovative solutions.
To succeed in the role, you:
* are proficient in Python, SQL, and object-oriented programming
* have experience with containerisation of code, Kubernetes, Docker, etc.
* are a strong team player who thrives on collaboration
* have experience with DevOps, including integrating logging, testing, monitoring, and alerting within data pipelines
* have a critical and experimental mindset with a willingness to learn new technologies as needed
* are familiar with BI tools (Tableau preferred).
Maybe you've read the above and can see you have some transferable skills, even though they don't quite match all the points. If you think you can bring something to the team, we still encourage you to apply.
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
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.