Cloud Data Engineer

At Coop Digital we are boldly going where no one has gone before. We look at creating a new standard in the industry as a whole. Together with a fantastic team of highly skilled team members we are on a journey to innovate new ways of interacting with customers and finding ways of helping them with the constant puzzle that is life.
We are now expanding our AI team with data engineers to help us build a state-of-the-art data platform on the cloud to make Coop a truly data driven company. Our motto is “Relevance in every touchpoint”! The understanding of our customers needs and behaviours will fuel the innovation process to become more personalised and efficient.
Are you a data engineer passionate in finding and creating new solutions in the food experience arena? Then this exciting job-opportunity might be something for you.
About the role
The goal is to build up a state-of-the-art data platform on the cloud. The platform will empower both our data scientists to develop new AI/ML models as well as democratize data to the analysts and business users throughout the organization
What you will do:
Build data pipelines from various sources to the data platform
Build real time data pipeline from Kafka to data platform
Structure data in layers from raw to curated (bronze, silver and gold)
Democratize data for different users in the organization
Configure tools and help improving our MLOps

The team will work with data from both digital and physical touchpoints to find and identify complex patterns and relationships in large data sets. You will build real time pipelines from Kafka to the data platform. By structuring the data in layers from raw to curated you will democratize the data for different users in the organization.
You will also help our data scientists to configure the tools that operationalize our ML models and improve our MLOps.
Skills & Requirements
We believe that you:
Are familiar with Spark and other big data frameworks.
Have experience working with data pipelines in cloud environments, preferably in Azure and Databricks.
Have experience in programming (SQL, Java, Scala and/or Python)
Are familiar with Kafka, and the principles and concepts of event-driven architecture and streaming data
Have worked with data lake and the concept of save data in raw immutable form
Familiar with Kubernetes and software development best practices

Who are you?
To succeed in this role, we believe you have a great passion for getting value from data and love to work with technologies that make it possible to create completely new data driven solutions. You have significant experience as a Data Engineer where you have worked with many different types of problems and solutions.
We also believe that you are a great team player. As a person, you are curious, results-oriented, and analytical with good problem-solving ability.
Recruiting process
In this process we have help from our partner Poolia and Jennifer Nilson.