Data Engineer

Conquer AI is a company that deploys production-ready AI systems for major clients and is currently scaling fast. The Data Engineer will build and maintain data pipelines that support AI systems, ensuring data quality and reliability while managing cloud infrastructure.

Responsibilities:

• Data pipelines supporting the full AI lifecycle, from ingestion to model training to serving
• Feature stores and vector database consistency for retrieval and agentic systems
• Data quality, reliability and lineage across every pipeline you build
• Cloud data infrastructure and cost management on the platforms we run on
• Documentation that makes the data trustworthy to everyone downstream, including governance

Requirements:

• Fluent English required
• Strong in SQL and Python, with real pipeline experience, not just querying
• Comfortable with Spark or PySpark, dbt and Airflow for orchestration
• Experience with at least one major cloud platform (AWS, GCP or Azure)
• You've worked with vector databases or feature stores, or you pick them up fast
• You treat data reliability as an engineering discipline, contracts, observability, lineage, not an afterthought
• Fluent English, comfortable working async across a globally distributed team
• Data Engineer or Senior Data Engineer at a tech company, scale-up or AI-focused team