from multiple sources. Develop and manage data models, schemas, and metadata to support analytics and reporting needs. Collaborate with Data Analysts, Data Scientists, and Business Analysts to ensure data availability, accessibility, and usability. Implement data quality checks, validation routines, and monitoring to ensure data integrity and reliability. Optimise data … e.g., Azure Data Factory, AWS Data Pipeline, Databricks, Apache Spark). Support the integration of data into visualisation platforms and analytical environments (e.g., Power BI, ServiceNow). Ensure adherence to data governance, security, and privacy policies. Document data architecture, pipelines, and processes to support transparency and knowledge sharing. Contribute ...