Data Engineer (BI & Analytics))

Join Rhino Partners in shaping the next generation of insight-driven analytics for the public sector.As a Data Engineer (BI & Analytics), you’ll design, develop, and optimise dashboards that turn complex datasets into actionable insights. This role blends business intelligence, data transformation, and visual storytelling across AWS and modern analytics platforms.Key Responsibilities1. Dashboard Development & Business IntelligenceGather and analyse stakeholder requirements for new dashboard development and business insightsUnderstand the business requirements and propose the suitable solution by analysing suitable services that can facilitate the requirements as a wholeDesign and develop additional dashboards and analytical workflows supporting business decision-makingCollect, clean, and transform data from various sources to support new analytical requirementsCollaborate with stakeholders to iteratively develop and refine dashboard solutionsCreate user-friendly interfaces and visualisations enhancing business workflow efficiency2. Data Analysis & Future Scaling SupportEnsure dashboard performance optimisation and user accessibilityProvide ongoing support and enhancements based on user feedbackSupport data validation and quality assurance during migration processAssist with preparation for Phase 3 scaling initiatives for statutory boardsSupport customisation of scripts and dashboards for different organisational contextsRequired SkillsBusiness Intelligence & VisualisationStrong experience in BI and dashboard developmentBackground in Tableau and QuickSight dashboard design and optimisationExperience with ETL processes and data pipeline designExperience designing intuitive user interfaces and data storytelling through visualisationsKnowledge of data-visualisation best practices and user-experience principlesAWS Analytics & AI ServicesKnowledge in AWS analytics services (SageMaker, QuickSight, Athena, Lambda)Experience using AWS services through Python SDK and Command Line Interface (CLI)Experience with serverless data-processing workflows and Lambda functions for data transformationUnderstanding of AWS data-lake architecture and analytics pipelinesData Management & ProcessingStrong expertise in data analysis, cleaning, and transformationProficiency in SQL for complex data queries and analysisKnowledge of data-quality assessment and validation techniquesData Governance & ArchitectureAbility to guide users in developing data taxonomy and classification frameworksExperience in establishing data-naming conventions and metadata standardsKnowledge of data-governance principles for scalable analytics platformsSkills in designing data models that support future analytical requirementsStakeholder Management & Business AcumenExperience in stakeholder engagement and requirements gatheringAbility to translate business needs into technical solutionsUnderstanding of HR business processes and workflows (preferred)Experience in change-management and user-adoption strategiesCommunication & CollaborationStrong communication skills for working with non-technical stakeholdersAbility to present complex data insights in clear, actionable formatsExperience in training end-users and creating documentationAdaptable to different organisational contexts