Embedded Data Engineer, ML Pipelines on AWS
Trainline is hiring an embedded Data Engineer for its ML team in London to design scalable data pipelines, feature stores and data models powering analytics and ML workloads. The role deploys cloud-native data apps on AWS, automates CI/CD, and uses Python, SQL, Spark, Airflow and a cloud data warehouse.
- Compensation
- Not disclosed
- Location
- London, United Kingdom
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Python and SQL
- Apache Spark
- Apache Airflow
- Cloud data warehouse experience
- Deploying cloud-native data applications on AWS
- CI/CD automation
- Designing scalable data pipelines, feature stores and data models for analytics and ML
- Collaboration with ML Engineers and Data Scientists
Full description
Trainline is seeking an Embedded Data Engineer in ML to design scalable data pipelines, feature stores and data models that power analytics and ML workloads within the ML domain. You will deploy cloud-native data apps on AWS, automate CI/CD, and collaborate with ML Engineers and Data Scientists to deliver reliable datasets and robust data platforms.
The role sits in the ML team with access to broader Data Engineering community, requiring Python/SQL, Spark, Airflow, and cloud data warehouse