Senior Data Engineer

Enterprise Data Architecture Strategy Collaborate with architects and stakeholders to design and implement robust enterprise data solutions aligned with business goals. Ensure architectural consistency across data platforms, pipelines, and storage layers. ETL Development Orchestration (Matillion) Design, build, and maintain scalable ETL pipelines using Matillion for Snowflake. Optimise data ingestion and transformation workflows for performance, reliability, and cost-efficiency. Data Transformation Modeling Develop complex data transformation logic to support analytics, reporting, and machine learning use cases. Implement and maintain dimensional models, star/snowflake schemas, and normalised structures. Point-in-Time Data Storage Architect and implement solutions for capturing and storing point-in-time snapshots of data for audit, historical analysis, and compliance purposes. Cloud-Native Platform Expertise (Snowflake) Extensive hands-on experience with Snowflake, including: Schema design, performance tuning, and query optimization. Role-based access control and data security best practices. Integration with BI platforms (ThoughtSpot) and third-party tools. Data Governance Quality Implement data quality checks, lineage tracking, and metadata management. Ensure compliance with data protection regulations and internal policies. Collaboration Reporting Work closely with business and data analysts to deliver reliable and timely data products.