Job Description

Imagine a future where you\'re a green energy evangelist, enabling the design and construction of wind farms through innovative data ingestion products Join us in this role where you\'ll architect and build end-to-end data engineering solutions that provide the foundation for cloud-based analytics across the organisation. We\'re committed to delivering on 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 rsted IT You\'ll be part of the Data Platform Competence Centre 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\'ll be part of a team where you\'re 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: writing production-grade, peer-reviewed Python and SQL code with automated tests building, evolving, and maintaining the ingestion pipelines to the rsted Data Ecosystem ensuring that data is made available in a way that is optimised for security, stability, and performance collaborating with the business data scientist community to find ways to optimise data packaging and structuring to enable reuse and support of common business scenarios participating in developing the capabilities and governance of the data platform setting up monitoring and orchestration of data pipelines. To succeed in the role, you: have substantial development and data ingestion experience using Python and SQL have experience on the development and deployment of REST APIs are familiar with cloud platforms, CI/CD tools, and container technology, incl. Kubernetes and Docker have experience working with Spark or PySpark; knowledge of NiFi is a plus have an experimental mindset and appreciate learning new things are curious and engaged, with a passion for making a difference through data. 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. Join a global leader in renewable energy rsted is a growing green energy major and global leader in climate action. With us you\'ll play a part in driving change towards a green energy future. You\'ll grow your talent in a fast-paced and high-growth industry where you have plenty of opportunities to learn and develop through challenging assignments and industry-leading experts. Here, you can perform in a friendly work environment based on trust, respect, and collaboration. Shape the future with us Send your application to us no later than 30 November 2023. We\'ll be conducting interviews on a continuous basis and reserve the right to take down the advert, when we have found the right candidate. Please don\'t hesitate to contact Talent Acquisition Operations MY, Talent Acquisition Partner, on [HIDDEN TEXT], if you\'d like to know more about the position. If you need to request any adjustments or accommodations to working practices, working patterns, or the assessment or interview process, we\'re happy to discuss alternative arrangements. 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.

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