Senior Data Engineer: Python, AWS & ML Pipelines

Jobgether SRL; South Africa; On-site; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Collegial environment

Agile culture

Ongoing training & development

Career growth opportunities

Possible business travel

Flexible working arrangements

Healthcare and other benefits

Job summary

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

The role focuses on Python, AWS, ETL, workflow orchestration, and scalable ML infrastructure. You will collaborate closely with Data Scientists and ML Engineers to productionize forecasting and data-driven

Qualifications

• Strong Python experience in data engineering and production systems.
• Proven data/ML pipeline development in production.
• Hands-on with Airflow for orchestration.
• Experience with AWS Glue, SageMaker, and Step Functions.
• Excellent English communication and ability to work in distributed teams.

Responsibilities

• Build and operate large-scale data and ML pipelines.
• Develop ETL workflows using Python.
• Design and orchestrate workflows with Airflow and Step Functions.
• Utilize AWS Glue for data processing.
• Deploy ML models with SageMaker.
• Collaborate with Data Scientists and ML Engineers to productionize models.
• Monitor and improve pipeline reliability and performance.

Skills

Python

AWS

Airflow

ML Pipelines

ETL

Cloud

Tools

Airflow

AWS Step Functions

AWS Glue

SageMaker

Job description

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

The role focuses on Python, AWS, ETL, workflow orchestration, and scalable ML infrastructure. You will collaborate closely with Data Scientists and ML Engineers to productionize forecasting and data-driven