Remote-Eligible Senior Data Engineer: Python & ML Pipelines

Jobgether SRL; Norway; On-site; NOK 900,000 - 1,500,000; Full time

Benefits offered by this job

Flexible working arrangements

Career growth opportunities

Training and mentoring

Business travel possible

Professional development

Job summary

Lever, Inc. in Norway is seeking a Senior Data Engineer to build and operate large-scale data and ML pipelines in a production environment.

You will work across data engineering, cloud infrastructure, and machine learning operations to turn models into reliable production workflows. You will collaborate closely with Data Scientists and ML Engineers to productionize forecasting and data-driven solutions, focusing on Python, AWS, ETL, workflow orchestration, and scalable ML infrastructure.

Qualifications

• Strong Python experience applying data engineering to production systems.
• Proven track record building data and/or ML pipelines in production.
• Hands-on experience with Apache Airflow for workflow orchestration.
• Practical experience with AWS Step Functions and AWS Glue.
• Experience deploying and supporting ML models using AWS SageMaker.

Responsibilities

• Build, maintain, and improve production-grade data and ML 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

Data pipelines

Apache Airflow

AWS

SageMaker

AWS Glue

ETL

ML pipelines

Cloud

Observability

Tools

Apache Airflow

AWS Step Functions

AWS Glue

SageMaker

GCP

Job description

Lever, Inc. in Norway is seeking a Senior Data Engineer to build and operate large-scale data and ML pipelines in a production environment.

You will work across data engineering, cloud infrastructure, and machine learning operations to turn models into reliable production workflows. You will collaborate closely with Data Scientists and ML Engineers to productionize forecasting and data-driven solutions, focusing on Python, AWS, ETL, workflow orchestration, and scalable ML infrastructure.