Data & AI Engineer

Responsibilities

• Build and deploy agentic solutions on Google Gemini and Claude, ranging from no-code/low-code workflows to multi-agent systems
• Partner with teams to identify use cases and develop the full lifecycle from solution mapping to end-user enablement
• Maintain and continuously test deployed agents to ensure reliability and performance
• Support the maintenance of the BigQuery data warehouse and design ETL pipelines integrating Salesforce, Google Analytics, and other services
• Troubleshoot site traffic tracking and data collection issues to preserve data integrity
• Develop and maintain internal and client-facing dashboards in Data Studio

Requirements

• 1+ years of experience in data engineering, analytics engineering, or AI/ML engineering
• Proficiency in SQL and Python
• Hands-on experience building agentic solutions, prompt engineering, and tool/function calling
• Experience designing and building ETL pipelines and integrating multiple data sources
• Strong working knowledge of the Google Cloud ecosystem, especially BigQuery
• Dashboarding experience with Data Studio or comparable BI tools
• Experience with Agent Development Kit (ADK) or multi-agent orchestration frameworks

Preferred Qualifications

• Familiarity with Matillion or comparable ETL/ELT tooling
• Experience with Omeda, Salesforce, Piano, or similar marketing/audience platforms
• Prior experience in media, publishing, or B2B information services
• Experience designing data models and warehouse schemas from scratch

About the Company

Arizent is a business information company that empowers professional communities by providing insights, analysis, and opportunities to connect through trusted financial services and professional services brands.