Data Engineer

Vurke Inc; Abu Dhabi Emirate; On-site; AED 120,000 - 160,000; Full time

Job summary

A data engineering firm in the United Arab Emirates is seeking a Data Engineer to build robust and scalable data pipelines that deliver clean and reliable data for analytics and AI. The candidate should have 3+ years of experience in data engineering with strong SQL and Python skills. Responsibilities include designing ELT or ETL pipelines, implementing data quality tests, and tuning warehouses for performance. This role offers a full-time position and requires on-the-road work.

Qualifications

• 3+ years in data engineering with strong SQL and Python.
• Experience with BigQuery, Snowflake, or Redshift.
• Basic understanding of dbt or similar transformation frameworks.

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.

Skills

SQL

Python

Data engineering

Data quality testing

Data modeling

Tools

Airflow

Prefect

BigQuery

Snowflake

Redshift

Terraform

Kafka

dbt

Looker

Power BI

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