Data & Analytics Engineer (Contract)

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

Additional Information

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.

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Company Intel

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