Senior Data Engineer: Python, AWS & ML Pipelines

Lever, Inc.; Netherlands; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Flexible working arrangements

Career growth

Training & mentoring

Exposure to ML technologies

Travel opportunities

Job summary

Lever, Inc. in the Netherlands is seeking a Senior Data Engineer to build and operate large-scale data and machine learning pipelines in production.

You will collaborate across data engineering, cloud infrastructure, and ML operations to turn models into reliable production workflows. You will focus on Python, AWS, ETL, orchestration, and scalable ML infrastructure, working with Data Scientists and ML Engineers to productionize forecasting and data-driven solutions while improving reliability

Qualifications

• Strong professional experience with Python and its application to data engineering and production systems.
• Proven experience building data pipelines and ML pipelines in production.
• Hands-on experience with Apache Airflow for workflow orchestration.
• Practical experience with AWS Step Functions and AWS Glue.
• Experience deploying ML models using AWS SageMaker.
• Strong hands-on experience with AWS cloud services and cloud-based production environments.

Responsibilities

• 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, and production workflows.
• Collaborate effectively with distributed, cross-functional Agile teams and contribute ideas that improve engineering practices and delivery.

Skills

Python

Airflow

AWS Glue

AWS SageMaker

AWS Step Functions

Data pipelines

ML pipelines

Production systems

Tools

Apache Airflow

AWS Glue

AWS SageMaker

Job description

Lever, Inc. in the Netherlands is seeking a Senior Data Engineer to build and operate large-scale data and machine learning pipelines in production.

You will collaborate across data engineering, cloud infrastructure, and ML operations to turn models into reliable production workflows. You will focus on Python, AWS, ETL, orchestration, and scalable ML infrastructure, working with Data Scientists and ML Engineers to productionize forecasting and data-driven solutions while improving reliability