Senior Data Engineer: Python, AWS & ML Pipelines

Lever, Inc.; Denmark; On-site; DKK 900,000 - 1,500,000; Full time

Benefits offered by this job

Flexible working

Career growth

Training & mentoring

Healthcare

Travel opportunities

Distributed team collaboration

Job summary

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

The role emphasizes Python, AWS, ETL, workflow orchestration, and scalable ML infrastructure, with collaboration across Data Scientists and ML Engineers to productionize forecasting and data-driven solutions. You will contribute to reliability, performance, and observability of critical data pipelines, work within distributed Agile teams, and help

Qualifications

• Strong Python experience for data engineering and production systems.
• Proven track record building data and ML pipelines in production.
• Hands-on Airflow for workflow orchestration.
• Experience with AWS Glue and AWS Step Functions.
• Experience deploying ML models with AWS SageMaker.
• Cloud services expertise and production-grade reliability.

Responsibilities

• Build production-grade data and ML pipelines for forecasting and data-driven decisions.
• Develop ETL/data-processing workflows using Python for scalable and reliable pipelines.
• Design and orchestrate workflows with Apache Airflow and AWS Step Functions.
• Utilize AWS Glue for data processing and pipeline execution.
• Deploy and operationalize ML models with AWS SageMaker.
• Collaborate with Data Scientists and ML Engineers to productionize solutions.
• Monitor pipeline health, troubleshoot issues, and improve reliability and performance.
• Contribute to architecture decisions for data platform and ML infra.

Skills

Python

AWS

Airflow

AWS Glue

SageMaker

ML pipelines

Observability

Collaboration

Tools

GCP

Job description

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

The role emphasizes Python, AWS, ETL, workflow orchestration, and scalable ML infrastructure, with collaboration across Data Scientists and ML Engineers to productionize forecasting and data-driven solutions. You will contribute to reliability, performance, and observability of critical data pipelines, work within distributed Agile teams, and help