Senior Data Engineer

Join us in this role where you’ll get the opportunity to architect and build end-to-end data engineering solutions that provide the foundation for cloud-based analytics across the company. We’re committed to delivering on our organisation’s digital strategy and creating a strong platform for analytics, model management, machine learning, etc., all built on cloud technologies. We test and learn as we go and our ambition is to power and connect a workplace where everyone can thrive, perform, and grow.

Welcome to Ørsted IT
You’ll be part of Data Foundation team where you, together with your colleagues, will work on developing the Group’s data backbone, and where you’ll inspire and advise stakeholders on how to enable data. You will be respected for who you are, appreciated for what you contribute, rewarded equally for what you achieve, while maintaining a sustainable work life.

As a team, we enjoy working in a highly flexible and inclusive manner and we hire talents from a diverse variety of backgrounds, not just because it’s the right thing to do, but because it makes us stronger.

You’ll play an important role in:

1. New development i.e. additional features to the application as per business needs.
2. Making sure of the operations and maintenance of the application i.e. applications keep running in the production without impacting business.
3. Being Technical Application Responsible (TAR) of the applications.
4. Working with team members on improving our DevOps journey.
5. Ensuring applications owned by the team are secure, reliable, maintainable, scalable and perform to meet the business need.
6. Developing and maintaining test automation frameworks, writing and executing test scripts.

To succeed in the role, you:

1. Have a proven track record in and advanced experience with development in Python, .NET, Angular, SQL/NoSQL, Azure DevOps. Strong Python software development skills.
2. Have knowledge in cloud products (Azure Cloud Services and/or AWS), containerization, serverless computing, architectural patterns.
3. Are proficient in system integration using modern technologies e.g. REST API, Microservices, Docker, Kubernetes, CI/CD with a high degree of automation (using GitHub Actions), Kafka, SQL or any NoSQL databases and other service-based systems.
4. Are proficient in writing unit & integration tests across all components; an advocate for automated testing. Experience with test automation tools will be a plus.
5. Have basic to intermediate knowledge & experience with data engineering.
6. Possess strong communication skills, experienced in stakeholder management and experienced working in agile setups.

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.