Data & AI Engineer

Location: Dubai | Full-time, Permanent | Onsite

Key Responsibilities

• Develop, test, and maintain robust ETL/ELT pipelines to ingest and transform data from multiple sources into the data lake and data marts
• Apply data modelling standards (dimensional models, star/snowflake schemas, canonical data models) to support reporting, analytics, and AI/ML use cases.
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  Work with data scientists, ML engineers, and analytics teams to support the product 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.
• Partner with product, engineering, and business stakeholders to understand data requirements and translate them into scalable technical solutions.

Qualifications:

• At least 5 years of data and AI engineering or similar role
• 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.
• Working knowledge of SAP HANA / SAP HANA Cloud data modelling, XS Engine, Calculation Views, SDI/SDA is a strong plus.
• 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.