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Key tasks/responsibilities:

• As a cloud data engineer, you are responsible for the development of data pipelines, logic, and services that enable our Machine Learning models to function within our Marketing Automation platform.
•  You need to work closely with Data Science, DevOps team, and Business on the further development and improvement of the Marketing Automation platform
• Design, implement, test, deploy, and monitor streaming data transformation pipelines that calculate features for predictive models. These features are used in real-time cloud-based machine learning systems.
• Next to these pipelines, the system contains offline batch ML models, online (real-time) ML inference, and various technical monitoring and business-oriented reports/dashboards. You need to be able to interact with these components

The long-term focus of the above activities is to further develop the ML system into a full-fledged, high-quality Marketing Automation Platform

Key Skills

• Software design and architecture of real-time distributed systems
• AWS components; (Step functions, ECS, ECR, DynamoDB, Kinesis, S3, Lambda)
• AWS Sagemaker / ML OPS in the cloud
• Docker
• Advanced Python knowledge (Type Annotation)
• CI/CD (GitLab)
• Infrastructure-as-Code (Terraform)
• PySpark
• DevOps mindset

Experience with

• Extensive experience with software design, architecture, and implementation of real-time distributed production systems on AWS
• Experience with embedding Machine Learning models in production applications
• Soft skills
• Able to work in an agile team
• Ability to agree on a compromise to achieve a joint team result
• Takes responsibility for high-quality delivery

Location

• The role requires the ability to work in our HQ office in The Hague on a weekly basis  Machine Learning, Python.

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