Senior Data Engineer: Python/AWS ML Pipelines (Flexible)

Lever, Inc.; Belgique; Hybride; EUR 85 000 - 125 000; Plein temps

Avantages offerts par ce poste

Agile culture

Flexible working arrangements

Career development

Business travel potential

Training & mentoring

Résumé du poste

Lever, Inc. is seeking a Senior Data Engineer based in Belgium to build and operate large-scale data and machine learning pipelines in production. You will work across data engineering, cloud infrastructure, and ML operations to turn models into reliable production workflows.

The role focuses on Python, AWS, ETL, workflow orchestration, and scalable ML infrastructure while collaborating with Data Scientists and ML Engineers to productionize forecasting solutions.

Qualifications

• Strong Python experience applied to data engineering and production systems.
• Proven track record building and maintaining data or ML pipelines in production.
• Hands-on experience with Apache Airflow for workflow orchestration.

Responsabilités

• Build and operate production-grade data and ML pipelines.
• Develop ETL and data-processing workflows using Python.
• Design and orchestrate workflows with Airflow and AWS Step Functions.

Connaissances

Python

Data pipelines

Airflow

AWS SageMaker

AWS Glue

Step Functions

Cloud services

Observability

English communication

Outils

Apache Airflow

AWS Step Functions

AWS Glue

AWS SageMaker

GCP

Description du poste

Lever, Inc. is seeking a Senior Data Engineer based in Belgium to build and operate large-scale data and machine learning pipelines in production. You will work across data engineering, cloud infrastructure, and ML operations to turn models into reliable production workflows.

The role focuses on Python, AWS, ETL, workflow orchestration, and scalable ML infrastructure while collaborating with Data Scientists and ML Engineers to productionize forecasting solutions.