Data & Analytics Engineer (Contract)

Role OverviewA 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 ResponsibilitiesData Engineering & PipelinesDesign and build data pipelines for logs, incident records, and infrastructure metricsIntegrate with log aggregation and monitoring platformsStructure and prepare data for AI and analytics consumptionAI-Driven AnalyticsEnable log correlation and intelligent reasoning using AI toolsCollaborate with AI teams to feed structured data into machine learning modelsOperations Analytics Use CasesDeliver analytics for incident management, storage and infrastructure metrics, and log monitoring insightsDashboard & VisualisationBuild dashboards using business intelligence and monitoring toolsPresent insights to leadership and support demo and rollout activitiesData Modelling & GovernanceDesign data models for operational analyticsEnsure data quality, consistency, and scalability across solutionsRequirementsTechnical SkillsStrong experience in SQL and data modellingHands-on experience with ETL and data pipelinesProficiency 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 integrationInterested candidates please email your latest resume to [email protected]