Senior Data Engineer

United Arab Emirates
Permanent
Full-time

23 days ago

Senior Data Engineer (Lakehouse & Hybrid Data Platforms)My client is looking for a Data Engineer to design and build scalable data pipelines that deliver trusted, analytics-ready datasets for BI, AI, and operational use cases across a hybrid environment.Key Responsibilities:

Build pipelines across bronze, silver & gold layers (Databricks, Spark, dbt)
Implement data quality checks, contracts & schema validation
Apply governance (catalog, lineage, RBAC, metadata)
Deliver curated datasets, features & embeddings for AI/BI
Monitor pipeline health, performance & cost to meet SLAs

Tech Stack
Databricks * Spark * Delta Lake * dbt * Azure Data Factory * Kafka/Event Hubs * CI/CD (Azure DevOps/GitHub)Governance & Ops:

Enforce data contracts, lineage & cataloging
Apply masking, tokenisation & access controls (PII/PHI)
Build observable pipelines with alerts, dashboards & runbooks
Optimize performance (partitioning, caching, cost efficiency)

Requirements:

5+ years in Data Engineering
Strong SQL, data modeling (dimensional/data vault)
Proficiency in Python
Hands-on with Databricks, Spark, Delta Lake & dbt
Experience with Azure data services (ADF, ADLS, Key Vault)
Familiarity with CI/CD & container basics (Docker/Kubernetes)

Nice to Have

Streaming (Kafka/Event Hubs) & CDC (GoldenGate)
Catalog/lineage tools (Purview, OvalEdge)
S3-compatible storage (MinIO, VAST)
Exposure to BI tools (Power BI) & healthcare standards (FHIR/MDR)

Education
Bachelor’s in Computer Science, Engineering, or related fieldSalt is acting as an Employment Agency in relation to this vacancy.

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