AI Data Ops Engineer at Faze 3 Consulting in Dubai | Artificial Intelligence Jobs | June 2026

Company: Faze 3 Consulting
Location: Abu Dhabi, UAE
Type: Full-time | On-site
Experience: 3-5 years
Key Skills: Apache Airflow | Python | SQL | dbt | Spark | BigQuery

Faze 3 Consulting is a technology consulting firm specializing in AI and data solutions for the UAE and broader Gulf market, serving clients in energy, government, and financial services sectors.

Role Overview: The AI Data Ops Engineer will build and maintain the data infrastructure that powers AI and machine learning systems, ensuring high-quality, reliable data pipelines that enable advanced analytics and AI model deployment.

Key Responsibilities:

  • Design and implement robust data pipelines for AI/ML model training and inference
  • Build and maintain data infrastructure on cloud platforms (AWS, GCP, or Azure)
  • Implement data quality monitoring, validation, and lineage tracking
  • Develop DataOps workflows integrating CI/CD best practices
  • Work closely with data scientists to productionize ML models
  • Manage data lake and data warehouse architectures
  • Monitor data pipeline performance and troubleshoot issues
  • Ensure data security, compliance, and governance standards

Required Technical Skills:

  • Strong experience with data pipeline tools (Apache Airflow, dbt, Spark)
  • Proficiency in Python and SQL
  • Experience with cloud data platforms (BigQuery, Snowflake, Databricks)
  • Knowledge of containerization (Docker/Kubernetes) and infrastructure as code
  • Familiarity with MLOps practices and model monitoring
  • Understanding of data modeling and warehouse design

Based in Abu Dhabi, this role offers the opportunity to work at the cutting edge of AI data infrastructure in the UAE’s booming tech sector.

Why Consider This Role

This role at Faze 3 Consulting in Abu Dhabi, UAE is an excellent opportunity for Artificial Intelligence professionals. Dubai and the UAE continue to rank among the world’s fastest-growing markets, offering competitive compensation and unmatched career growth.

How to Increase Your Chances

  • Tailor your CV to match the AI Data Ops Engineer requirements
  • Quantify your past achievements with numbers and results
  • Research Faze 3 Consulting thoroughly before applying
  • Include ATS keywords: Apache Airflow, Python, SQL, dbt, Spark
  • Prepare STAR-method answers for your interview

How to Apply

Apply Now on LinkedIn →


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