Senior Data Engineer: Python, AWS & ML Pipelines | Flexible

Jobgether SRL; Polska; On-site; PLN 120,000 - 160,000; Full time

Benefits offered by this job

Flexible working arrangements

Healthcare benefits

Career development

Job summary

Lever, Inc. is seeking a Senior Data Engineer in Poland to build and operate large-scale data and machine learning pipelines. The role focuses on Python, AWS, ETL, workflow orchestration, and scalable ML infrastructure in production.

You will collaborate with Data Scientists and ML Engineers to productionize forecasting and data-driven solutions while improving reliability, observability, and performance across pipelines in distributed Agile teams.

Qualifications

• Strong experience with Python for 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 and supporting ML models using AWS SageMaker.
• Experience with AWS cloud services in production environments.
• Experience with large-scale systems focusing on reliability and performance.
• Excellent written and verbal English communication skills.

Responsibilities

• Build, operate, and optimize production-grade data and ML pipelines in a distributed environment.
• Develop ETL and data-processing workflows using Python.
• Design and orchestrate workflows with Airflow and AWS Step Functions.
• Utilize AWS Glue for data processing and transformation.
• Deploy ML models with AWS SageMaker into production.
• Collaborate with Data Scientists and ML Engineers to productionize solutions.
• Monitor pipeline health and improve reliability and performance.
• Contribute to architectural decisions for data platform and ML infra.

Skills

Python

Data pipelines

ML pipelines

Airflow

AWS

SageMaker

Glue

Step Functions

Cloud production

English communication

Tools

Apache Airflow

AWS Step Functions

AWS Glue

AWS SageMaker

Job description

Lever, Inc. is seeking a Senior Data Engineer in Poland to build and operate large-scale data and machine learning pipelines. The role focuses on Python, AWS, ETL, workflow orchestration, and scalable ML infrastructure in production.

You will collaborate with Data Scientists and ML Engineers to productionize forecasting and data-driven solutions while improving reliability, observability, and performance across pipelines in distributed Agile teams.