Data & Analytics Engineer (Contract)

Role Overview A banking institution is looking for a Data & Analytics Engineer to support AI-driven operations analytics, with a focus on log analysis, incident insights, and data modelling for intelligent operations. This role sits at the intersection of data engineering, analytics, and AI enablement. Key Responsibilities Data Engineering & Pipelines Design and build data pipelines for logs, incident records, and infrastructure metrics Integrate with log aggregation and monitoring platforms Structure and prepare data for AI and analytics consumption AI-Driven Analytics Enable log correlation and intelligent reasoning using AI tools Collaborate with AI teams to feed structured data into machine learning models Operations Analytics Use Cases Deliver analytics for incident management, storage and infrastructure metrics, and log monitoring insights Dashboard & Visualisation Build dashboards using business intelligence and monitoring tools Present insights to leadership and support demo and rollout activities Data Modelling & Governance Design data models for operational analytics Ensure data quality, consistency, and scalability across solutions Requirements Technical Skills Strong experience in SQL and data modelling Hands-on experience with ETL and data pipelines Proficiency with business intelligence tools (e.g., Power BI or similar) Experience with log and monitoring platforms (e.g., Elastic, Splunk, or similar) Exposure to AI/ML concepts or LLM integration Interested candidates please email your latest resume to subagio@tangspac.com