Data Engineer

Al Ain, Abu Dhabi, United Arab Emirates

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Job Description

Role summary
Build robust, scalable data pipelines and platforms that deliver clean, reliable, and timely data for analytics and AI.
Key responsibilities

Design ELT or ETL pipelines and orchestrate with Airflow or Prefect.
Model data for analytics, implement CDC, and manage schemas.
Add data quality tests, lineage, and cataloging.
Tune warehouses for performance and cost.
Secure data with role-based access and compliance controls.

Minimum qualifications

3+ years in data engineering with strong SQL and Python.
Experience with BigQuery or Snowflake or Redshift and an orchestrator.
Version control and CI for data.
Basic understanding of dbt or similar transformation frameworks.

Preferred

Streaming with Kafka or pub/sub.
Terraform and cloud data services.
Great Expectations or similar testing frameworks.

Tools and stack
Airflow or Prefect, dbt, Kafka or Pub/Sub, Python, SQL, Terraform, Great Expectations, BigQuery or Snowflake or Redshift, Looker or Power BI as downstream.
KPIs / success metrics
Pipeline SLA and reliability, data quality scores, cost per terabyte, time to data availability.
Initial screening questions

How would you design CDC from a high-volume OLTP source into a warehouse?
How do you validate models and prevent schema drift?
Show how you balance cost and performance for a slowly changing dimension.

Optional skills task
Build an ELT pipeline with dbt models and tests on a sample dataset, then generate lineage docs.
Career path
Senior Data Engineer Staff Data Engineer Platform or Data Architecture Lead.
Job Type: Full-time
Work Location: On the road