Job Title

Data Transformation Engineer – AI Technology Company – Remote (Dubai)About the Role / Job Summary:A leading AI-driven technology company is hiring for a Data Transformation Engineer to build and manage scalable data pipelines that transform raw structured and unstructured data into analytics- and AI-ready datasets. The role focuses on ETL/ELT development, data normalization, and transformation logic supporting downstream AI and automation workflows.About the Company: Our client is engaged in the business of building core AI-powered data orchestration and automation platform designed to operate on top of existing enterprise systems. They develop reusable core technology for healthcare, professional services, manufacturing, and other regulated industries, supported by experienced financial and strategic partners for long-term focus and disciplined execution.The company focuses on:Data ingestion from complex and non-standard sources such as portals, PDFs, legacy systems, and APIsOrchestration of workflows across heterogeneous enterprise systemsControlled and auditable AI enablement embedded into real operational processes.About the Founder: The Company is founded and led by an accomplished entrepreneur and technology strategist with an international background across Italy, Europe, and the United States, having a strong track record of building and operating technology initiatives in complex environments and is actively involved in product architecture and strategic decision-making.Working Model: Hybrid / Remote-first (Possibility to come to Dubai for initial on-site working sessions - a few days at a time; potential for longer-term mobility to Dubai depending on candidate growth and mutual interest.)Key Responsibilities:Build and maintain ETL / ELT pipelines using Python and SQLTransform and normalize structured and unstructured dataDevelop transformation logic for embeddings, chunking, and model-ready datasetsOrchestrate workflows using Airflow, Prefect, or equivalent toolsImplement data validation, quality checks, and monitoringCollaborate with AI and backend teams on data automation workflowsPrimary Skills (Must-Have):4+ years of experience in data engineering or data transformationStrong ETL / ELT pipeline development experienceHands-on with Pandas and/or PySparkStrong SQL and data modeling skillsExperience with Airflow / Prefect / ADFExperience handling structured and semi-structured dataSecondary Skills (Good-to-Have):DBTSnowflake / BigQuery / Redshift / PostgreSQLSupabase exposureVector database familiarity (Qdrant, Pinecone, Weaviate)Cloud platforms: AWS / Azure / GCPAdditional Requirements:Clear English communication, written and verbalExperience working in agile / sprint-based environmentsComfortable with async-first collaboration tools (Notion, Linear, GitHub Projects)Strong ownership mindset and ability to work independentlyPrior exposure to regulated industries (finance, healthcare, logistics) is a plusAbility to collaborate effectively with global, cross-functional teamsWorking Days: Monday to FridayWhy Should Someone Join the Company:Opportunity to work on core AI data platform technologyOwnership of transformation pipelines used across enterprise systemsHigh autonomy and long-term growth opportunitiesExposure to global clients and complex data ecosystemsContact Details: For more details on this vacancy, contact Ayush at jobs@._ _ _ _ _ _ HireGenie is a premier Finance Recruitment Consultancy, helping companies and startups find top-tier finance professionals. We operate across India, UAE, Saudi Arabia, and South Africa.