Data And AI Engineer

Atom Technology; Dubai; Hybrid; AED 240,000 - 420,000; Full time

Benefits offered by this job

Private Health Insurance

Hybrid Working Model

Training & Development

Performance Bonus

Job summary

Atom Technology in Dubai is seeking a Data & AI Engineer to drive end-to-end data development—from ingestion and cleansing to transformation, curation and presentation—supporting customers and stakeholders with secure, scalable data and AI solutions.

Work with data scientists and analytics teams to productionise ML/AI and LLM workflows; build robust ETL/ELT pipelines, dashboards, and feature stores; follow governance, security, and CI/CD; enjoy a hybrid working model, private health insurance,

Qualifications

• Hands-on data engineer with Snowflake, Databricks, Azure, GCP and/or AWS.
• Strong Python and SQL skills.
• Proven ETL/ELT development experience with AWS Glue, dbt, Informatica, Talend, Python, SQL.
• Knowledge of SAP HANA/Cloud data modelling is a strong plus.
• Experience with analytics frontend tools (Power BI, Tableau, etc.).
• Exposure to LLMs and generative AI with Agentic AI workflows.
• CI/CD and DevOps in data environments.
• Bachelor’s or Master’s in CS/Statistics/Math.
• Collaborative, proactive problem solver with strong communication.
• Minimum 5 years in a similar role.

Responsibilities

• Build and maintain ETL/ELT pipelines across data lake and marts.
• Develop robust web scraping solutions.
• Optimize data workloads for performance and cost.
• Model data using dimensional and star/snowflake schemas.
• Contribute to cloud data architecture.
• Support production ML/AI with curated data and feature stores.
• Provide well-documented datasets for self-service reporting.
• Follow governance, quality, and security practices.
• Partner with product and engineering to translate data needs into scalable solutions.
• Contribute to code reviews, testing, and CI/CD practices.

Skills

Python

SQL

ETL/ELT

Web scraping

Data modelling

ML basics

Security

Cloud architecture

Communication

Team collaboration

Education

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

Tools

Snowflake

Databricks

Azure

AWS

GCP

Power BI

Tableau

SAP HANA

LangChain

CI/CD tools

Job description

Job Description:

As a Data & AI Engineer you will contribute across the end-to-end data development lifecycle for data ingestion, cleansing, validation, transformation, curation and presentation. Reporting to the Principal Data & AI, you will work within a talented team of data engineers to deliver high-impact, secure data and AI solutions that support the ambitious goals of ATOM’s customers and stakeholders.

Hands-on Engineering & Delivery

• 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.
• Optimise performance and cost of data workloads (partitioning, compression, query tuning, etc).

Data Modelling & Platform Contribution

• Apply data modelling standards (dimensional models, star/snowflake schemas, canonical data models) to support reporting, analytics, and AI/ML use cases.
• Contribute to the evolution of the cloud data architecture under the guidance of the Principal Data & AI

Analytics, BI, ML & AI Enablement

• Work with data scientists, ML engineers, and analytics teams to support the productionisation of ML/AI and LLM-based solutions through reliable data pipelines and feature stores.
• Expose curated, well-documented datasets to enable self-service reporting, dashboards, and analytical tools.

Quality, Governance & Security

• Follow data governance, data quality, and metadata management practices across the platform.
• Apply security best practices (IAM roles and policies, encryption at rest and in transit, row/column-level security, auditing and monitoring).

Collaboration & Ways of Working

• Partner with product, engineering, and business stakeholders to understand data requirements and translate them into scalable technical solutions.
• Contribute to code reviews, documentation, testing, and DevOps/CI-CD practices, adhering to clean code, reusable components, version control, and observability standards.

KNOWLEDGE AND SKILLS

• Hands-on experience as a data engineer with focus on Snowflake, Databricks, Azure, GCP and/or AWS platforms.
• Strong programming skills in Python, SQL and other relevant languages.
• Proven experience in developing ETL/ELT pipelines using various technologies, including but not limited to AWS Glue, dbt, Informatica, Talend, Python, SQL, etc.
• Working knowledge of SAP HANA / SAP HANA Cloud data modelling, XS Engine, Calculation Views, SDI/SDA is a strong plus.
• Experience with analytical frontend tools (e.g. MicroStrategy, Power BI, Tableau, Spotfire, SAP Analytics Cloud).
• Exposure to Large Language Models, generative AI, and intelligent agents, including hands-on experience building Agentic AI workflows and automations using tools such as n8n, LangChain / LangGraph, Make (Integromat), Zapier AI, CrewAI, or similar orchestration frameworks.
• Experience delivering CI/CD and DevOps capabilities in a data environment.
• A bachelor’s or master’s degree in computer science, Statistics, Mathematicsor 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.

• Work in an international environment
• Innovation in FinTech
• Private Health Insurance
• Hybrid Working Model
• Training & Development
• Performance Bonus

Requirements: