Senior Data Engineer: Python, AWS & ML Pipelines

Lever, Inc.; United Arab Emirates; On-site; AED 350,000 - 550,000; Full time

Job summary

Lever, Inc. in the United Arab Emirates 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 ML operations to turn models into reliable production workflows, with a strong focus on Python, AWS, ETL, workflow orchestration, and scalable ML infrastructure. You will collaborate with Data Scientists and ML Engineers to productionize forecasting and data-driven solutions,

Qualifications

• Hands-on Python for data engineering in production
• Experience building data or ML pipelines in production
• Airflow for orchestration
• AWS data services: Glue, SageMaker, Step Functions

Responsibilities

• Build, maintain, and improve production-grade data and ML pipelines.
• Develop ETL and data-processing workflows with Python.
• Design and orchestrate workflows using Airflow and AWS Step Functions.
• Utilize AWS Glue for data processing and pipeline execution.
• Support deployment and operationalization of ML models with SageMaker.
• Collaborate with Data Scientists to productionize forecasting.
• Monitor pipeline health and troubleshoot production issues.
• Contribute to architectural decisions for data platform and ML infra.

Skills

Python

Data pipelines

ML pipelines

English comms

Data Modeling

Tools

Airflow

AWS Step Functions

AWS Glue

SageMaker

GCP (optional)

Job description

Lever, Inc. in the United Arab Emirates 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 ML operations to turn models into reliable production workflows, with a strong focus on Python, AWS, ETL, workflow orchestration, and scalable ML infrastructure. You will collaborate with Data Scientists and ML Engineers to productionize forecasting and data-driven solutions,