Data & AI Engineer

Confidential Company

Qatar

On-site

QAR 180,000 - 320,000

Full time

3 days ago
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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

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.
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