Data Engineer

Inception
42, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception
42 functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception
42 is committed to creating positive societal impact. For more information, please visit (Use the "Apply for this Job" box below)..ai

Abu Dhabi

We are looking for a Data Engineer
who can build scalable data pipelines while also developing intelligent AI solutions using

Azure Agent Foundry,OpenAIservices,Lang Chain,Databricks, and modern cloud architectures. The ideal candidate has strong data engineering foundations combined with hands-on experience designing and deploying enterprise-grade AI systems.

• Develop and deploy AI agents using Azure Agent Foundry, OpenAI, Lang Chain, and N8N.
• BuildRAG pipelines, embeddings, vector database integrations, and knowledge graph solutions.
• Design and maintain scalabledata pipelines,ETL/ELTworkflows, and data architectures.
• Build and maintainAPIs and data services supporting AI and analytics workloads.
  
  Optimize ML workflows on Azure Databricksand integrate with Azure Fabric.
• Ensure data quality, reliability, governance, and compliance across all systems.
• Collaborate with data scientists, ML engineers, and product teams to deliver intelligent features.
• SupportMLOpsand Dev Ops processes  including CI/CD, model lifecycle management, and containerized deployments.

• Bachelor's in Computer Science, Engineering, Data Science, or related field.
• 3+ years experience in Data Engineering, AI Engineering, or ML Engineering roles.
• Experience delivering scalable AI/data solutions in cloud environments (Azure preferred)
• Strong proficiency in Python, SQL, PySpark, and ML/AI frameworks.
• Experience with Azure Agent Foundry, OpenAI APIs, LLMOps, RAG systems, and vector databases.
• Hands-on experience with Azure Databricks, Azure cloud services, and data platforms.
  
  Knowledge of big data tools (Spark, Hadoop, Flink) and modern data storage (SQL, No
  
  SQL).
• Experience with REST/GraphQL APIs, Kafka/RabbitMQ, Docker/Kubernetes.
• Solid understanding of data modeling, ETL, and data quality best practices.
  
  Strong problem-solving, communication, and cross-functional collaboration skills.

Inception
42 is building AI systems designed for practical deployment at scale - across industries, infrastructure, and national-level initiatives.

If you want to work close to both advanced AI capability and real-world execution, we'd like to hear from you.

If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception
42 community.

Culture:
An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.

Career:
Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.

Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.