Hybrid Data & AI Engineer: Cloud Pipelines & ML Enablement

ATOM Technologies Limited; Dubai; Hybrid; AED 240,000 - 360,000; Full time

Benefits offered by this job

Private Health Insurance

Hybrid Working Model

Training & Development

Performance Bonus

Job summary

ATOM Technologies Limited is seeking a Data & AI Engineer to contribute to the end-to-end data development lifecycle, from ingestion and cleansing to transformation, curation, and presentation. You will collaborate with data scientists and analytics teams to productionise ML/AI solutions and deliver secure, well-documented datasets for self-service reporting.

You will build robust ETL/ELT pipelines, implement web scraping, optimise data workloads, and contribute to data modelling, governance,

Qualifications

• Hands-on data engineer with 5+ years of experience.
• Experience with Snowflake, Databricks, and cloud platforms.
• Strong Python and SQL programming skills.
• Knowledge of data governance, security, and IAM.
• Experience with BI tools and ML data preparation.

Responsibilities

• Develop, test, and maintain ETL/ELT pipelines.
• Ingest and transform data into the data lake and data marts.
• Implement robust web scraping solutions.
• Model data using dimensional models and schemas.
• Support productionisation of ML/AI and feature stores.
• Expose curated datasets for self-service reporting and analytics.
• Follow governance, quality, and metadata practices across the platform.
• Collaborate with product, engineering, and business stakeholders on data requirements.

Skills

Snowflake

Databricks

Python

SQL

AWS

Azure

GCP

ETL/ELT pipelines

Power BI

CI/CD

Education

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

Tools

AWS Glue

dbt

Informatica

Talend

LangChain

Job description

ATOM Technologies Limited is seeking a Data & AI Engineer to contribute to the end-to-end data development lifecycle, from ingestion and cleansing to transformation, curation, and presentation. You will collaborate with data scientists and analytics teams to productionise ML/AI solutions and deliver secure, well-documented datasets for self-service reporting.

You will build robust ETL/ELT pipelines, implement web scraping, optimise data workloads, and contribute to data modelling, governance,