Junior/Mid-Level Data & Machine Learning engineer

emagine is seeking a motivated Junior or Mid-Level Data & Machine Learning Engineer to join a global technology project. You will play a key role in building and maintaining the data infrastructure that powers advanced analytics and machine learning initiatives.

Key responsibilities

• Develop and maintain robust data ingestion pipelines using Go and Kafka for real-time and aggregated streams.
• Clean, normalize, and structure data to create high-quality, AI-ready datasets and ClickHouse tables.
• Design and implement backend microservices and APIs to expose data products and metrics.
• Support the deployment, monitoring, and reliability of production machine learning workflows.
• Implement observability solutions using Prometheus and Grafana to ensure system stability.

Requirements

• Strong proficiency in Go (Golang) and practical experience with Python.
• Solid understanding of SQL and experience working with analytical databases, preferably ClickHouse.
• Hands-on experience with messaging systems like Kafka, as well as Protobuf, Docker, and Kubernetes.
• A strong analytical mindset with a genuine interest in data engineering, feature engineering, and MLOps.
• Ability to collaborate effectively with senior engineers and architects in a fast-paced environment.

What we offer

• The opportunity to work on large-scale data infrastructure and advanced machine learning projects.
• A fully remote working environment with exposure to modern distributed systems.
• Professional growth through collaboration with senior technical specialists and architects.
• Engagement in the full lifecycle of data products, from ingestion to production monitoring.