Senior Data Platform Engineer
Dubai, UAEfull-timePosted 6mo ago
About the role
Role to build and scale Ziina's data platform from the ground up, including pipelines, warehouse, and tooling to power analytics, decision-making, and ML/AI capabilities across the company.
Responsibilities
- Build and maintain scalable data pipelines and processing systems that ingest data from transactional databases, object storage, and external APIs
- Design and evolve our data warehouse architecture and data models to support analytics, reporting, and ML/AI use cases
- Improve the reliability, observability, and performance of our data systems
- Implement data quality checks and monitoring to ensure trusted, accurate data across the company
- Enable self-service data access and analytics so product, engineering, and business teams can make data-driven decisions independently
- Support the foundational capabilities that will power our ML and AI use cases as they grow
Qualifications
- 5+ years of experience in Data Engineering, Data Platform, or Analytics Engineering
- Strong expertise building and maintaining data pipelines with orchestration tools like Dagster, Airflow, or Prefect, and writing ETL/ELT workflows in Python
- Proficiency with modern data warehouses (Snowflake, BigQuery, or Redshift) and transformation frameworks like dbt
- Hands-on experience ingesting data from PostgreSQL, S3, external APIs, supporting both transactional and event-driven use cases
- Familiarity with data quality, observability, and monitoring practices for production data systems
- Willingness to use latest AI tools and technologies to boost productivity
- Based in or willing to relocate to the UAE
Skills
Required:Data pipeline design and orchestrationData warehouse modelingSQL and Python ETL/ELTdbtData quality and observabilityCloud data warehousingSource system ingestion
Last updated May 9, 2026. Interested? Apply on the company site.

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