Data/AI Engineer - Data Platform & Analytics
Core
Design, develop, and deploy core platform components for data engineering, analytics, and AI-enabled capabilities, integrating structured and unstructured data for public sector clients.
Role type
Data/AI Platform Engineer
Builds
Scalable data pipelines, data products, and AI-enabled processing solutions for document-centric data
Domain
Public sector / Data Engineering / AI & Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ETL/ELT pipeline design, data lake/warehouse architecture, structured and unstructured data integration, data modeling, AI/ML on text/document data, DevOps, CI/CD, pipeline automation, security controls (IAM, encryption), API integration
Preferred skills
Experience with Microsoft Fabric or Azure ecosystem, knowledge of event-driven processing, experience with explainable AI and human-in-the-loop controls
Technologies
Microsoft Fabric, Azure ecosystem, Git, CI/CD tools, open standards/APIs
Responsibilities
Build and maintain data pipelines for batch and near-real-time ingestion; Perform data cleansing, validation, standardization, and metadata tagging; Design solutions combining structured and unstructured data into reusable products; Support AI-driven processing of document-centric data with explainability and traceability; Automate pipelines and reporting workflows; Implement security controls and support separation of classified/unclassified environments
Seniority
Mid-Senior, hands-on IC
