We are looking for exceptional data engineers to join our fast-growing team in Europe. At ML6 we transform the way companies work by building machine learning solutions on Google Cloud. As a Data Engineer, you'll contribute to this by building scalable data pipelines and cloud infrastructure using a dynamic and cutting-edge tech stack.
Within your team you will:
Efficiently translate customer business needs into end-to-end technical solutions
Conceptualize, design and implement data and cloud architecture
Build and deploy batch and streaming data pipelines
Build and deploy production ready applications on Google Cloud
Collaborate with ML and Software Engineers, Project Managers, and clients
Work with the following technologies: GCP, Python, Kubernetes, Dataflow / Apache Beam, Terraform, Flask / Connexion, BigQuery, DBT, Kubeflow Pipelines
We offer:
Challenging data and machine learning projects across industries
A flexible environment where you're free to define your own growth path with the support of your coach and mentor
An innovative environment focused on knowledge building and sharing. Every ML6 agent spends part of their time on applied research, which they share internally during one of our quarterly conferences, or externally via blog posts, videos, or open source contributions
A healthy work environment with a focus on well-being, connectivity, feedback, and open communication
An optimized compensation package which we will keep competitive over time
Requirements
We are looking for both junior and senior data engineers.
Minimum:
You have a bachelor’s or master’s degree in computer science or a related field
You know your way around Python, Linux, SQL, Git
You are knowledgeable about design patterns and data structures
You can work both autonomously and in team, and take ownership of your work
You have an engineering mindset and are passionate about technology
Excellent verbal and written communication skills in English
Preferred:
Previous experience as a data engineer
Experience with cloud based solutions (preferred Google Cloud)
Experience building data processing pipelines
Experience with BigQuery / data warehousing
Experience with Containers (Docker, Kubernetes, ...)
Experience with pipeline orchestration (KFP, Airflow, ...)
Experience with Infrastructure as Code (preferred Terraform)
