Data & AI Engineer
Summary
Builds batch/streaming data pipelines, lakehouse data models, ML feature and RAG ingestion pipelines, and the APIs/services around them, with production support and CI/CD. Core stack: Python, SQL, Apache Spark, cloud data platforms, containers, Git. Onsite in Qatar, 5+ years' experience, at Ooredoo Consulting.
Develop batch and streaming data ingestion and transformation pipelines Design and maintain data lakehouse layers curated data models and data products Build and maintain APIs for data access and serving Implement data quality metadata lineage governance and access controls Develop ML feature pipelines document processing workflows embeddings and RAG ingestion pipelines Write modular maintainable Python SQL and Spark code Implement automated testing code reviews Git workflows and CI CD pipelines Support cloud deployments containers monitoring observability and production operations Use AI coding assistants responsibly for development testing documentation and debugging with appropriate human validation.
Hiring: Data & AI Engineer
Company: Ooredoo Consulting
Location: Qatar
Experience: 5+ Years
Work Mode: Onsite – Qatar
About the Role
We are looking for an experienced Data & AI Engineer to build scalable data pipelines, AI-ready data products, and production-grade software services.
Required Skills
- Strong hands-on experience in Python and SQL.
- Experience with Apache Spark and distributed data processing.
- Expertise in ETL/ELT, data pipelines, workflow orchestration, and streaming.
- Knowledge of data lakehouse architectures and cloud data platforms.
- Experience with APIs, Git, automated testing, code reviews, and CI/CD.
- Understanding of containers, observability, and production support.
- Knowledge of ML data preparation, embeddings, vector search, and RAG pipelines.
- Experience using AI coding assistants such as GitHub Copilot, Microsoft Copilot, or equivalent tools, with the ability to validate generated code.
- Strong problem-solving, communication, ownership, and accountability.
Education & Experience
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline.
- Minimum 5 years of directly relevant professional experience.
- Demonstrated experience delivering production-grade solutions in complex enterprise or public-sector environments.
- Relevant cloud, data engineering, or technology certifications are preferred.
Preferred Qualifications
- Experience with enterprise cloud and data engineering platforms.
- Exposure to data governance, security, and responsible AI-assisted development.
- Ability to work collaboratively with cross-functional teams and deliver reliable, scalable solutions.