In this role, you’ll design, build, and maintain robust data architectures and pipelines across domains like finance, energy, healthcare, and logistics. Whether you’re building real-time data platforms on the cloud or enabling ML model deployment at scale, you’ll bring together engineering excellence and client-centered thinking.

Your role

• Design and implement scalable data pipelines that power advanced analytics and ML.
• Collaborate closely with cross-functional teams, translating business needs into technical solutions. 
• Advise and contribute to the creation of fit for purpose data platform architectures in both AWS and Azure.
• Deploy and monitor cloud-native infrastructure using tools like Kubernetes and Terraform.
• Optimize data workflows for reliability, speed, and cost efficiency.
• Work with technologies like Kafka, Databricks, Snowflake and Airflow.
• Guide clients through data engineering best practices and empower their internal teams.
• Contribute to internal knowledge sharing, mentorship, and community learning.

What you bring to the table

• 2+ years of experience in data engineering, ML engineering, or backend data systems.
• A master degree in computer science, AI, data science or a related technical field.
• Strong programming skills in Python (bonus points for Scala or Java).
• Proficiency in working with cloud platforms (Azure, AWS, or GCP).
• Hands-on experience with tools like Spark, Airflow, Kafka, Kubernetes, and CI/CD workflows.
• A consulting mindset: you enjoy listening, collaborating, and turning needs into solutions.
• Fluent in English and Dutch.
• A drive to learn, improve, and share knowledge - both internally and with the broader tech community.

Please note that for this position, we are looking for candidates who have the legal right to work in the Netherlands.

What's in it for you?

We offer more than a job - we offer a platform for growth:

• A monthly salary between €3.800 - €6.200 per month (based on 40 hours and excluding vacation allowance)
• €5.000 annual development budget
• 25 vacation days to fully recharge
• Secondary benefits such as pension, flexible working options (in terms working location) and the possibility to take unpaid leave
• Memorable company trips (Berlin this year!)
• The opportunity to grow along with our success through Stock Appreciation Rights

At Canary Five, we believe that collaboration, knowledge sharing, and personal development are the keys to our success. That’s why we offer various trainings through our ‘Learning Labs’ and organize a yearly health month. We also regularly enjoy boat trips through the Amsterdam canals with our own boat, and there is always a healthy (free) lunch and a bar at the office.