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 [HIDDEN TEXT]

Data & Analytics Engineer (Contract)