Senior Data Engineer

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/86ctmy

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer (Python / AWS / ML Pipelines) based in Italy.

As a Senior Data Engineer, you will build and operate large-scale data and machine learning pipelines in a production environment.
You will work across data engineering, cloud infrastructure, and machine learning operations to turn models into reliable production workflows.
The role focuses heavily on Python, AWS, ETL, workflow orchestration, and scalable ML infrastructure.
You will collaborate closely with Data Scientists and ML Engineers to productionize forecasting and data-driven solutions.
You will also help improve the reliability, performance, and observability of critical data pipelines.
Working within distributed Agile teams, you will contribute to architecture decisions and technical improvements across the data platform.
This is an opportunity to work on challenging production systems while continuing to develop your cloud and ML engineering expertise.

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Accountabilities





• Build, maintain, and improve production-grade data and machine learning pipelines supporting forecasting and data-driven decision-making.

• Develop ETL and data-processing workflows using Python, ensuring they are scalable, reliable, and maintainable.

• Design and orchestrate workflows using technologies such as Apache Airflow and AWS Step Functions.

• Use AWS Glue for data processing, transformation, and pipeline execution.

• Support the deployment and operationalization of machine learning models using AWS SageMaker.

• Work closely with Data Scientists and ML Engineers to move models and analytical solutions reliably into production.

• Monitor pipeline health and performance, troubleshoot production issues, and implement improvements to reliability, scalability, and efficiency.

• Contribute to architectural and technical decisions related to the data platform, ML infrastructure,

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/86ctmy