Data & Analytics Engineer
Core
Build data engineering and AI solutions to democratize financial services and optimize decision-making for the Fintech business.
Role type
Data & Analytics Engineer (AI/ML integration)
Builds
Semantic layers, data pipelines, and AI-integrated tools for the Fintech business
Domain
Fintech, Data Engineering, Generative AI
Deliverable
production ML models
Required skills
SQL, Python, Data Modeling, Git, API development, Looker/LookML, BigQuery, DataFlow, GenAI tools (Codex/Claude Code/MCPs), Machine Learning
Preferred skills
Data Science, Statistics, Experimentation, Application Development
Technologies
Looker, LookML, BigQuery, DataFlow, Python, SQL, Git, GitHub, MCPs, GenAI agents
Responsibilities
Design and evolve semantic layers in Looker/LookML; Develop and maintain data models and pipelines optimizing BigQuery; Build tools and integrations using Python, APIs, and AI agents; Analyze business needs and develop services with quality assurance.
Seniority
Mid-Senior, hands-on IC