Data & AI Engineer

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

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