Data Engineer: Build Scalable ML-Ready Pipelines
Xccelerated · Netherlands ·
- Category
- Data engineering
- Experience
- 2+ years
Build and scale data pipelines for ML workflows and real-time analytics using Spark, Kafka, Airflow, and Kubernetes in a cloud environment.
Xccelerated is looking for a data-driven engineer to join our team in Amsterdam. You’ll help build and industrialize data platforms, enabling scalable ML workflows and real-time analytics. You’ll collaborate with colleagues who are passionate about data and leverage open-source tools to drive impact.
The role requires 2–5 years of hands-on data or software engineering experience and strong knowledge of Spark, Kafka, Airflow and Kubernetes, plus cloud familiarity with Azure, GCP or AWS.