Senior Data Engineer - Hybrid - KSA - (10-12 Months) - RTG
Core
Design, implement, and maintain an enterprise-grade AI-ready Data Lakehouse platform to support AI agents, digital workers, and knowledge graph systems.
Role type
Senior IC Data Engineer (Technical Lead)
Builds
Unified Data Lakehouse, automated ingestion frameworks, data quality & governance systems, and secure access controls.
Domain
Cloud Data Engineering, AI Infrastructure, Distributed Systems
Deliverable
production ML models | infrastructure
Required skills
Data pipeline development, data architecture, distributed systems, Python/Java/Scala, open table formats (Delta Lake, Iceberg), ETL/ELT orchestration, database ecosystems, cloud infrastructure deployment, security & compliance implementation, technical leadership, knowledge transfer.
Preferred skills
AI/Data Science enablement (NLP, vector embeddings, Knowledge Graphs), OCI/GCP expertise, Saudi Arabian data compliance frameworks (NCA, NDMO).
Technologies
Python, Java, Scala, Apache Spark, Kafka, Hadoop, Delta Lake, Apache Iceberg, Apache Hudi, Apache Airflow, Prefect, dbt, PostgreSQL, MySQL, MongoDB, Cassandra, Hive, Trino, OCI, GCP, AWS, Azure, Active Directory.
Responsibilities
Design and deploy Medallion architecture Data Lakehouse on cloud infrastructure; build reusable batch and streaming ingestion frameworks; implement automated data quality circuit breakers and lineage tracking; optimize data processing workflows for performance and cost; monitor and maintain data systems; ensure platform adherence to NCA and NDMO security standards; design and deploy RBAC/ABAC access controls; lead knowledge transfer and capability building for client teams.
Seniority
Senior, hands-on IC with technical leadership
