Data & Analytics Engineer

What You'll Drive

• Data Integration, Data Warehouse & Data Management
  • Support setup, monitoring, and maintenance of data pipelines from SCADA, CMMS, CAFM, and other systems into the centralized data warehouse.
  • Maintain and manage key datasets (data structures, data dictionaries, master/reference data) used for reporting.
  • Validate data accuracy, completeness, and consistency, and troubleshoot data synchronization issues.
  • Support data governance activities including access requests, version tracking, and audit readiness.
• KPI, Dashboard & Reporting Development
  • Develop and maintain dashboards and KPIs using Power BI and Google Data Studio.
  • Support preparation of monthly/quarterly performance packs ensuring traceability and accuracy.
• Finance Reporting & KPI Support
  • Produce required Finance reports and KPI dashboards.
  • Align operational KPIs with financial KPIs where required.
• Documentation, Data Governance & Controls
  • Document reporting requirements, data logic, KPI definitions, calculations, and workflows.
  • Maintain technical documentation for pipelines, integrations, and reporting models.
  • Ensure compliance with governance, reporting standards, and audit traceability.
• Data Quality & Validation
  • Perform routine data quality checks and reconciliations.
  • Identify gaps, duplication, or inconsistencies and coordinate corrective actions.
  • Maintain data quality logs and improvement tracking.
• Process Improvement & Automation
  • Identify opportunities to automate repetitive reporting and data preparation tasks.
  • Support continuous improvement initiatives in O&M and Finance reporting workflows.
  • Develop standardized templates and automated report outputs.
• Helpdesk & Cross-Functional Coordination
  • Support helpdesk operation for CMMS/CAFM-related and reporting-related requests.
  • Coordinate with Operations, Maintenance, IT, CMMS, and CAFM teams to resolve issues.
  • Track tickets, follow up, escalate when required, and ensure closure within agreed timelines.