Azure MLops Engineer
As a MLops engineer leveraging your passion for data by supporting Rabobank’s data driven ambitions to fruition. Supporting all business initiatives with a need for data and machine learning models. Rabobank is implementing an Enterprise Data Lake and a One!Lab Analytics platform in the cloud. And you can be a valuable part of it!
We see collaboration as the best way to deliver strong results. We use Scrum as an agile way of working in our Tribe. Our Squads join forces to support the bank-wide organization with data logistics solutions. We bring together talented people to work on our data systems. Our Area consists of about 100 T-shaped colleagues coming from all over the world. We communicate in English.
The Covid-19 pandemic has had a big impact on our way of working. Rabobank seamlessly made the transition to working remote from home, using tools like MS Teams and concepts as pair programming.
Although Rabobank has active pilots to return to the office, the Rabobank understands some of these changes will be here to stay and with programs as Rabo@Anywhere is investigating the future of work.
You get excited by building and deploying big data pipelines in the cloud and running Machine Learning models in production. In the Squad you work on Azure, where you use cloud native components and value the separation between storage and computing. Data frames are not a new concept to you and you write code in either PySpark or use Azure Data Flow for your ETL needs. Your deployments are automated and you are able to quickly prototype your solutions. You know Azure network and security components by heart. You love setting up monitoring and logging and know the needs of Data Scientists.
Your experience and competencies
You have a couple of years of experience in using the concepts/components in a production environment:
The competences we would like you to have:
Growing a better world together
You'll already be aware that Rabobank is a financial services provider for 7.1 million customers in 40 countries. But did you know that we aim to contribute to real change with our 'Growing a better world together' mission? We do so in countless ways, such as:
Do you want to become the ideal version of yourself within an engineering culture? We would love to help you achieve this by focusing firmly on your growth, development, and investing in an environment where you keep learning every day. We give you the space to innovate and initiate. In this way, we offer you numerous opportunities to grow and help you exceed your expectations, to do the right thing exceptionally well, and to therefore grow as a professional. In addition, with us (on the basis of a 40 hour working week), you can also expect:
Good to know:
Are you the person we're looking for? Are you ready to join our team as Azure MLops Engineer and make a difference to yourself, our customers and to society? We are excited to hear from you!