Data Transformation Engineer

Data Transformation Engineer – AI Technology Company – Remote

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 APIs Orchestration of workflows across heterogeneous enterprise systems Controlled 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 SQL Transform and normalize structured and unstructured data Develop transformation logic for embeddings, chunking, and model-ready datasets Orchestrate workflows using Airflow, Prefect, or equivalent tools Implement data validation, quality checks, and monitoring Collaborate with AI and backend teams on data automation workflows Primary Skills (Must-Have): 4+ years of experience in data engineering or data transformation Strong ETL / ELT pipeline development experience Hands-on with Pandas and/or PySpark Strong SQL and data modeling skills Experience with Airflow / Prefect / ADF Experience handling structured and semi-structured data Secondary Skills (Good-to-Have): DBT Snowflake / BigQuery / Redshift / PostgreSQL Supabase exposure Vector database familiarity (Qdrant, Pinecone, Weaviate) Cloud platforms: AWS / Azure / GCP Additional Requirements: Clear English communication, written and verbal Experience working in agile / sprint-based environments Comfortable with async-first collaboration tools (Notion, Linear, GitHub Projects) Strong ownership mindset and ability to work independently Prior exposure to regulated industries (finance, healthcare, logistics) is a plus Ability to collaborate effectively with global, cross-functional teams Working Days:

Monday to Friday

Why Should Someone Join the Company: Opportunity to work on core AI data platform technology Ownership of transformation pipelines used across enterprise systems High autonomy and long-term growth opportunities Exposure to global clients and complex data ecosystems

Contact Details:

For more details on this vacancy, contact Ayush at . _ _ _ _ _ _ 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. Until Then, Let's Stay Connected? Explore latest finance roles and industry insights by following HireGenie on LinkedIn and Instagram. You can also join our WhatsApp Channel, where we regularly post latest finance job updates, career advice, and exclusive insights into the finance industry.