Job description
Structured engineering practices, proper documentation, and a DevOps way of working.
Laying the foundations for integrating machine learning into the world's first cloud-native banking platform.
A modern tech stack which is continuously being updated by you and your team.
A flexible squad, with loads of autonomy & ownership over your time and your work.
Sounds interesting?
Briefing
Your mission is to shape the future of our cloud-native banking platform. Along with your new multidisciplinary squad, you will set up Ohpen’s data infrastructure design and lay the foundations for the integration of machine learning.
You and your squad will, among other interesting projects, build out a brand-new data lake from scratch. You’ll be responsible for setting up a robust and automated infrastructure, and you’ll be involved in all phases of data- and modelling-engineering; from data preparation to model implementation to testing and ultimately running it on the cloud.
You’ll be working with tools and languages such as Python, Github Actions, SQL database services, and many AWS managed services. Your team follows a DevOps way of working, owns their domain from start to finish, and are known for their ability to look outside the box for cutting edge solutions.
At Ohpen, you can speak your mind and be yourself. We operate on a hybrid workplace model that allows us to bond and share moments at our office on Passeig de Gracia, while also enjoying the the option to work from home up to 4 days per week.
Here you have flexible working hours, autonomy over your work, regular team activities such as kickboxing classes twice a week, flexible remuneration vouchers, private health care, English classes, and a bunch of seasoned colleagues who will inspire and challenge you in equal measure.
About you
- You have at least 4-5 years of experience in Data Engineering
- You have several years of experience with Python and SQL
- You have working experience with, or a huge interest in learning AWS
You don’t have an updated CV? No problem. You can also apply with your LinkedIn profile or send a message directly to Victoria Krasnova with any questions you may have about the role.
Everyone gets a response.
