Data & AI Engineer

Location: Dubai | Full-time, Permanent | OnsiteKey ResponsibilitiesDevelop, test, and maintain robust ETL/ELT pipelines to ingest and transform data from multiple sources into the data lake and data martsApply data modelling standards (dimensional models, star/snowflake schemas, canonical data models) to support reporting, analytics, and AI/ML use cases.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 roleHands-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.