AI Data Engineer (Senior)
Core
Design, develop, and maintain end-to-end data pipelines and scalable infrastructure to support analytics, AI/ML, and Generative AI applications for EPOS POS and SaaS solutions.
Role type
Senior AI Data Engineer
Builds
Data lakes, data warehouses, pipelines, metadata repositories, and data platforms for AI/GenAI use cases (RAG, embeddings, vector search)
Domain
Financial Technology (FinTech) / Point-of-Sale (POS) / Generative AI
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, Data Warehouse design, Data Lake architecture, ETL/ELT pipeline development, Data modeling, Data quality assurance, Performance optimization, RAG workflows, Embeddings, Vector search
Preferred skills
AWS/GCP/Azure cloud platforms, AI Agents, LLM applications
Technologies
Python, SQL, Data Lakes, Data Warehouses, RAG, Embeddings, Vector Search
Responsibilities
Design and maintain end-to-end data pipelines for structured and unstructured data; Architect scalable data infrastructure including data lakes and warehouses; Build and optimize data platforms for AI/ML and Generative AI; Ensure data quality, reliability, and performance; Monitor and troubleshoot pipelines for scalability and cost efficiency; Collaborate with AI/ML and Software Engineers to deliver data and AI products.
Seniority
Senior, hands-on IC
