Data & AI Engineer - Hybrid, Performance Bonus

Atom Technology; Dubai; Hybrid; AED 320,000 - 520,000; Full time

Benefits offered by this job

Work in an international environment

Innovation in FinTech

Private Health Insurance

Hybrid Working Model

Training & Development

Performance Bonus

Job summary

Atom Technology in Dubai is seeking a Data & AI Engineer to drive the end-to-end data development lifecycle—from ingestion, cleansing and validation to transformation, curation and presentation—delivering secure, high-impact data and AI solutions for customers and stakeholders.

You will build robust ETL/ELT pipelines, apply dimensional data models, support ML/AI productionisation, and collaborate with data scientists, analytics teams, and business partners in a hybrid work model with private

Qualifications

• 5+ years of experience as a data engineer.
• Hands-on with Snowflake, Databricks, Azure, GCP and/or AWS.
• Strong Python and SQL programming skills.
• Experience building ETL/ELT pipelines and data lakes/data marts.
• Experience with data governance, security, and CI/CD in data environments.
• Bachelor's or master's degree in CS/Statistics/Math or related.

Responsibilities

• Develop and maintain robust ETL/ELT pipelines from multiple sources into data lake/data marts.
• Build robust web scraping solutions.
• Model data for reporting, analytics, and AI/ML use cases.
• Collaborate with data scientists and analytics teams to productionize ML/AI solutions.
• Ensure data governance, quality, security, and observability across platforms.
• Contribute to DevOps/CI/CD practices in the data platform.

Skills

Snowflake

Databricks

Azure

GCP

AWS

Python

SQL

ETL/ELT pipelines

CI/CD in data environments

Strong communication

Education

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics or related

Job description

Atom Technology in Dubai is seeking a Data & AI Engineer to drive the end-to-end data development lifecycle—from ingestion, cleansing and validation to transformation, curation and presentation—delivering secure, high-impact data and AI solutions for customers and stakeholders.

You will build robust ETL/ELT pipelines, apply dimensional data models, support ML/AI productionisation, and collaborate with data scientists, analytics teams, and business partners in a hybrid work model with private