DevOps Engineer

Imagine a future where you will enable Ørsted commodity trading and support our vision for a sustainable world via automated data, analytics, algo and AI capabilities.

 

Join us in this role where you’ll be enabling Ørsted’s commodity trading activities by developing, optimizing, and automating the analytics infrastructure and workflows for analytics-focused teams. You’ll work with analysts and quantitative developers to ensure analytics capabilities and workflows are robust and automated, allowing users to focus on analytics while you manage infrastructure, analytics platform capabilities and enabling tooling.

 

Welcome to Ørsted Digital Technology (DT) and Commercial DT while your employment will be anchored in IT, your daily work will be as part of the Algo, Analytics, Trade Execution team, which develops and operates the data & analytics platform to support Analysts, Data Scientists, and Traders from Trading & Revenue business area. Together with your colleagues in Denmark, Poland and Malaysia, you will enable the trading floor with technical expertise on fast and secure provisioning of analytics platform capabilities based on highest standards.

As a team, we‘re diverse, international, and cross-functional working with an agile mindset. We offer a Scandinavian working culture, focusing on diversity and inclusion, and value work-life balance. We promote teamwork over individual achievements.

 

 

You'll play an important role in:

• supporting and maintaining our cloud and Kubernetes-based Analytics Platform to ensure reliability, security, and performance
• contributing to the development and improvement of CI/CD pipelines to automate testing and deployment, helping analytics teams deliver solutions efficiently
• configuring and maintaining monitoring tools such as Prometheus and Grafana to support platform health and operational visibility
• developing and maintaining Python integrations and automated package management solutions following established best practices
• enabling Analytics Platform capabilities that support Machine Learning, Algorithmic Trading, and Generative AI use cases.

 

 

To succeed in the role, you:

• are motivated by working in a dynamic trading environment and supporting analytics-focused users and teams
• use your Python skills to automate operational tasks, improve platform capabilities, and support quants and analysts in their daily work
• have experience with, or a strong interest in, DevOps practices, CI/CD, cloud platforms, and analytics technologies
• work with technologies such as Kubernetes, Docker, GitHub, Airflow, and monitoring tools including Prometheus and Grafana
• are eager to learn more about JupyterHub, Machine Learning, Algorithmic Trading, and Generative AI capabilities, or already have some experience in these areas
• collaborate effectively with colleagues to help improve analytics workflows and accelerate the delivery of analytics solutions.

 

 

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 accommodation@orsted.com.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.

 

Position salary range: 

For this position, the expected base pay range is zł17,508.00- zł26,262.00 for the advertised location. The offered base salary will be determined within this range based on relevant skills, experience, and expected role fulfilment within the stated pay range to ensure a fair and competitive offer. Where applicable, you may also be eligible for variable payment and a comprehensive benefits package.

 

Our benefits package: 

Our benefits package: For this position, employees who meet eligibility requirements have access to: private healthcare (Medicover and CM Damiana) fully paid by the employer, with optional add-ons (dental care, senior packages, parents/parents-in-law cover); group life insurance, overseas health insurance, and 24/7 accident insurance from day one; access to an employee pension plan (PPE) with a 3.5 % employer contribution after 6 months; a vacation bonus of PLN 1200 once per year; a multimedia package (mobile phone and laptop or tablet); ergonomics support, health apps, and psychological support via Wellbee; a Multisport card and the MyBenefit cafeteria system with a wide range of sports and lifestyle benefits; free fruit and beverages, team events, and company initiatives; glasses subsidy.

 

Pre-employment background check:

Certain positions may require a background check as part of the hiring process. If applicable, you will be informed during the recruitment process. Background checks are conducted by an external provider in accordance with local legal requirements.