Senior Data Engineer (AI Platform)

About the Project

We're looking for a Senior Data Engineer to join an early-stage AI platform where you'll have the opportunity to shape the data architecture from the ground up.

The project is currently in the discovery and platform design phase. Together with AI and backend engineers, you'll build a scalable data platform powering next-generation AI applications, including Retrieval-Augmented Generation (RAG), AI Agents, intelligent document processing, and LLM-driven workflows.

This is a greenfield project where you'll be involved in architectural decisions, technology selection, and designing reliable data pipelines for AI systems.

What You'll Do

• Design and implement scalable data ingestion pipelines
• Build reliable ETL/ELT workflows for structured and unstructured data
• Design data models for analytics and AI workloads
• Build and optimize data pipelines supporting RAG and AI Agent systems
• Ensure data quality, governance, observability, and reliability
• Optimize performance and infrastructure costs
• Collaborate with AI Engineers on vector search, embeddings, and retrieval pipelines
• Participate in architecture discussions and technology selection

• Contribute to platform scalability and production readiness

   

Required Skills

• 5+ years of commercial Data Engineering experience
• Strong Python development skills
• Experience designing ETL/ELT pipelines
• Understanding RAG architectures
• Experience working with cloud platforms (AWS, Azure, or GCP)
• Strong understanding of data modeling
• Experience with PostgreSQL or other relational databases
• Strong experience with vector databases
• Experience building scalable data processing systems
• Understanding of Data Warehouses, Data Lakes, or Lakehouse architectures

Nice to Have

• Apache Airflow
• Kafka
• dbt
• Snowflake
• Redis
• LangChain
• LangGraph
  
  If you're interested, feel free to send your CV