Technical Data Engineer
Core
Building APIs, data pipelines, and AI-assisted solutions within a modern Azure-based ecosystem to support critical business functions including Finance, HR, Legal, Compliance, and Operations Risk.
Role type
Technical Data Engineer / Software Engineer (AI & Data)
Builds
APIs, backend services, ETL/ELT data pipelines, AI-assisted features (document classification, anomaly detection, intelligent workflow routing, natural language querying), Power BI datasets, and automation workflows.
Domain
Regulated enterprise environment (Finance, HR, Legal, Compliance, Operations Risk) using Azure cloud stack.
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Python, SQL, API design and integration, ETL/ELT pipeline development, CI/CD management, data modeling, Power BI, Power Automate, Power Apps, Azure Data Factory, Databricks, Azure DevOps, GitHub.
Preferred skills
C#, regulated enterprise experience, financial services background, AI tool usage (Claude Code, GPT Codex), AI-native development practices.
Technologies
Azure, Azure Data Factory, Databricks, Azure DevOps, GitHub, Power BI, Power Automate, Power Apps, Python, C#, SQL.
Responsibilities
Build and maintain APIs and backend services; design and implement system integrations; develop SQL-based data models and transformation layers; prototype and deploy AI-assisted features; manage CI/CD pipelines; collaborate with stakeholders to translate business requirements into technical solutions; provide post-deployment support and incident resolution.
Seniority
Mid-level (3–5+ years experience)
