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We are seeking strong Data Engineers to help design and build next-generation AI-driven data products and investment intelligence platforms. This role sits at the foundation of new AI initiatives, where you will own and shape the data ingestion, ETL, AI-generated dashboards, and multi-agent analytical systems used by investment clients in the UAE and beyond. This is not a traditional Spark-only pipeline role. We are looking for a Python-strong, AI-aware Data Engineer who can build production-grade ingestion and transformation systems that integrate structured and unstructured data sources, support RAG architectures, and run across cloud, hybrid, and on-prem environments.
Job Responsibility:
Build and maintain end-to-end data ingestion and ETL pipelines
Ingest structured and unstructured data from APIs, Snowflake, Oracle, documents, and market data providers
Develop production-quality Python services and data workflows
Orchestrate pipelines using Kubernetes and workflow tools
Apply clean architecture and strong engineering design patterns
Ensure data quality, reliability, and security
Design schemas and transformation layers for analytics and AI agents
Prepare data for AI and RAG systems (chunking, embeddings, retrieval pipelines)
Requirements:
Strong Python (advanced, production-grade)
Advanced SQL
ETL/ELT pipeline design and orchestration (Airflow, ADF, Databricks or similar)
Experience with RAG systems, embeddings, and vector databases
Hands-on experience with Cloud providers (Microsoft Azure desired)
Document parsing and unstructured data processing
Experience with data lakehouse architectures
API and database integrations
Kubernetes-based workloads
Nice to have:
Experience with Snowflake and Oracle
Streaming systems (Kafka, Event Hubs)
Data Lakehouse architectures
LLM evaluation and prompt engineering
Experience building AI or data platforms
What we offer:
The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built
The opportunity to form part of an amazing, multicultural community of tech experts