Data & AI Engineer: Scalable Pipelines & AI-Ready Data

Confidential Company; Qatar; On-site; QAR 180,000 - 320,000; Full time

Job summary

Ooredoo Consulting in Qatar is seeking an experienced Data & AI Engineer to build scalable data pipelines, AI-ready data products, and production-grade software services onsite.

The role requires strong Python and SQL skills, Spark experience, and expertise in ETL/ELT, data lakehouse architectures, APIs, Git, CI/CD, containers, and responsible AI practices. You will also work on ML data preparation, embeddings and RAG pipelines.

Qualifications

• Bachelor's degree required in a related field.
• Minimum 5 years of directly relevant professional experience.
• Production-grade solutions delivery in complex environments.
• Cloud/data engineering certifications preferred.

Responsibilities

• Build scalable data pipelines and production-grade software services.
• Develop AI-ready data products and data lakehouse layers.
• Design and maintain APIs for data access and serving.
• Implement data quality, metadata, lineage, governance and access controls.
• Develop ML feature pipelines, embeddings, vector search and RAG pipelines.
• Support cloud deployments, containers, monitoring, observability and production operations.
• Write modular Python, SQL and Spark code; implement testing, code reviews, CI/CD.

Skills

Python

SQL

Apache Spark

Data pipelines

ETL/ELT

APIs

Git

CI/CD

Containers

Data governance

ML data prep

Embeddings

Vector search

RAG pipelines

AI coding assistants

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline

Tools

Cloud platforms

Job description

Ooredoo Consulting in Qatar is seeking an experienced Data & AI Engineer to build scalable data pipelines, AI-ready data products, and production-grade software services onsite.

The role requires strong Python and SQL skills, Spark experience, and expertise in ETL/ELT, data lakehouse architectures, APIs, Git, CI/CD, containers, and responsible AI practices. You will also work on ML data preparation, embeddings and RAG pipelines.