Data And AI Engineer

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

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: