Data Engineer: Build Scalable Pipelines & AI (Abu Dhabi)

CNTXT AI; Abu Dhabi; On-site; AED 300,000 - 420,000; Full time

Job summary

CNTXT AI is seeking a Data Engineer to design and scale data infrastructure powering analytics and AI products. You will build robust data pipelines, integrate sources, ensure data quality, and enable accessible data across teams.

You'll work with engineers, data scientists, and product managers to deliver reliable, high-performance data solutions in a modern cloud stack with CI/CD practices and comprehensive governance.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
• Build and manage modern data warehouses and data lakes.
• Develop reliable batch and real-time data processing pipelines.
• Integrate data from APIs, databases, third-party platforms, and cloud services.
• Ensure data quality, integrity, security, and governance.
• Optimize data models and database performance for analytics and reporting.
• Monitor, troubleshoot, and improve data pipeline reliability and performance.
• Collaborate with Data Scientists, ML Engineers, Product Managers, and Software Engineers to deliver data solutions.
• Implement CI/CD practices and infrastructure automation for data workflows.
• Document data architecture, pipeline designs, and engineering best practices.
• Stay current with emerging technologies in cloud data engineering and big data ecosystems.

Skills

Python

SQL

ETL/ELT pipelines

Cloud platforms

CI/CD practices

Collaboration

Education

Bachelor's degree in Computer Science

Tools

Airflow

Dagster

Prefect

Kubernetes

Docker

Spark

Snowflake

BigQuery

Redshift

Azure Synapse

PostgreSQL

MySQL

MongoDB

dbt

Terraform

Job description

CNTXT AI is seeking a Data Engineer to design and scale data infrastructure powering analytics and AI products. You will build robust data pipelines, integrate sources, ensure data quality, and enable accessible data across teams.

You'll work with engineers, data scientists, and product managers to deliver reliable, high-performance data solutions in a modern cloud stack with CI/CD practices and comprehensive governance.