Data Engineer
Core
Design, deploy, and evolve ELT/ETL pipelines to build infrastructure enabling Machine Learning, LLMs, and Agents for the financial sector.
Role type
Senior Data Engineer (AI/ML Infrastructure)
Builds
Scalable data pipelines, AI-ready systems, and data contracts for fintech operations.
Domain
Fintech / Financial Services
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, Airflow, dbt, DuckDB, GCP, DLT, Docker, CI/CD, Dimensional Modeling
Preferred skills
LLMs, Vector Databases, AI Agents, Data Warehousing
Technologies
Python, SQL, Airflow, dbt, DuckDB, GCP, DLT, Docker, Github Actions
Responsibilities
Architect and innovate ELT/ETL pipelines from diverse sources; Champion AI/ML by building infrastructure for ML models and LLM-powered Agents; Partner with stakeholders to identify high-impact opportunities; Apply top-tier software practices (SDLC, RFCs, unit testing) to ensure platform scalability.
Seniority
Senior, hands-on IC