Senior Data Engineer — Cloud Data Pipelines & AI Enablement

Atom Technology; Dubai; On-site; AED 300,000 - 470,000; Full time

Job summary

ATOM seeks an experienced Data Engineer in Dubai to own end-to-end data development, including ingestion, cleansing, validation, and transformation. You will build robust ETL/ELT pipelines across Snowflake, Databricks and cloud platforms, with emphasis on data quality, governance, and secure data access for analytics and AI use cases.

You will collaborate with data scientists and BI teams to deliver reliable datasets, dashboards and AI-ready features while advancing our data architecture under

Qualifications

• A bachelor’s or master’s degree in computer science, statistics, mathematics or related.
• A collaborative, proactive problem solver with strong communication skills and the ability to work effectively across diverse teams.
• At minimum 5 years of experience in a similar role.

Responsibilities

• Develop, test, and maintain robust ETL/ELT pipelines to ingest and transform data from multiple sources into the data lake and data marts.
• Implement robust web scraping solutions.
• Apply data modelling standards to support reporting, analytics, and AI/ML use cases.
• Support productionisation of ML/AI and LLM-based solutions through reliable data pipelines and feature stores.
• Follow data governance, data quality, and metadata management practices across the platform.
• Collaborate with product, engineering, and business stakeholders to translate data requirements into scalable solutions.

Skills

Snowflake

Databricks

Azure

GCP

AWS

Python

SQL

ETL/ELT

dbt

Informatica

Talend

AWS Glue

Power BI

Tableau

SAP HANA

LangChain

LangGraph

CI/CD

DevOps

Education

Bachelor’s or Master’s degree in CS/Statistics/Math or related

Tools

dbt

Informatica

Talend

AWS Glue

Power BI

Tableau

Job description

ATOM seeks an experienced Data Engineer in Dubai to own end-to-end data development, including ingestion, cleansing, validation, and transformation. You will build robust ETL/ELT pipelines across Snowflake, Databricks and cloud platforms, with emphasis on data quality, governance, and secure data access for analytics and AI use cases.

You will collaborate with data scientists and BI teams to deliver reliable datasets, dashboards and AI-ready features while advancing our data architecture under