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Responsibilities span the end-to-end lifecycle of scalable, secure, resilient data platforms and pipelines, including ingestion, transformation, modelling, orchestration, optimisation, monitoring and defect resolution. The position supports a Medallion Architecture (Bronze/Silver/Gold), requires robust common data models and strong governance for sensitive, regulated data, and includes deployment management across development, test and production 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design, develop, maintain and continuously improve enterprise-grade data engineering solutions within the Microsoft Fabric platform, supporting the organisation’s strategic data and business intelligence objectives.  \nReporting to the Head of Data and Business Intelligence, the Senior Data Engineer will be responsible for the end-to-end engineering lifecycle of scalable, secure and resilient data platforms and pipelines, including ingestion, transformation, modelling, orchestration, optimisation, monitoring and defect resolution.  \nThe role will play a key part in the development and operational management of a Medallion Architecture (Bronze, Silver, Gold) data platform, sourcing and integrating data from multiple disparate internal and external systems, including operational, HR, finance and third-party platforms.  \nThe post holder will be expected to design and implement robust common data models at both organisational and functional levels, ensuring data is standardised, trusted, governed and consumable across the business.  \nThe role requires extensive practical experience working with sensitive and regulated data, implementing strong controls around security, governance, lineage, quality, completeness and auditability.  \nThe Senior Data Engineer will operate within a structured software and data engineering delivery framework including defined intake processes, backlog management, Kanban or sprint-based delivery methodologies, controlled release processes and multi-environment deployment management across development, test and production environments.  \nThe role will also be responsible for proactively identifying data quality, integrity and consistency issues including duplication, concatenation inconsistencies, incomplete  \nSenior Data Engineer Job Description Page 1 of 7  \nrecords, schema drift and reconciliation failures, and designing appropriate technical and operational solutions to address them.  \nMain Duties and Responsibilities  \n1. Design, develop and maintain enterprise-scale Microsoft Fabric data engineering solutions using Medallion Architecture principles across Bronze, Silver and Gold layers.  \n2. Develop and optimise scalable ELT/ETL pipelines for ingesting, transforming and integrating data from multiple disparate operational systems, cloud platforms, APIs, databases and third-party applications.  \n3. Build and maintain common data models and semantic structures that support enterprise reporting, analytics, operational processes and self-service business intelligence.  \n4. Design and implement robust orchestration frameworks for pipeline scheduling, dependency management, monitoring, alerting, restart handling and defect resolution.  \n5. Manage and support structured deployment processes across development, test and production environments, including controlled releases, rollback proceduresand migration management.  \n6. Work within established intake, prioritisation and backlog management processes using Kanban or equivalent structured delivery methodologies.  \n7. Identify, investigate and resolve complex data engineering defects, performance issues, pipeline failures and integration problems.  \n8. Design and implement data quality controls, reconciliation processes and validation frameworks to ensure accuracy, consistency, completeness and integrity of enterprise data assets.  \n9. Analyse and resolve data issues including duplicate records, concatenation inconsistencies, incomplete datasets, schema conflicts, referential integrity issues and transformation anomalies.  \n10. Develop secure data engineering solutions aligned to organisational governance, compliance and information security requirements, particularly when handling sensitive or regulated data.  \n11. Work closely with business stakeholders and subject matter experts to understa","cbCail4zLrr9m1rS","https://ap.wps.com/l/cbCail4zLrr9m1rS","pdf",119247,7,"English","# Main Duties and Responsibilities\n## Purpose\n## Reporting and Delivery Framework\n## Key Responsibilities","[{\"question\":\"What is the main purpose of the Senior Data Engineer role?\",\"answer\":\"To design, develop, maintain and continuously improve enterprise-grade data engineering solutions on Microsoft Fabric that support the organisation’s strategic data and business intelligence objectives.\"},{\"question\":\"Which parts of the data engineering lifecycle does the role cover?\",\"answer\":\"The role owns the end-to-end engineering lifecycle of data platforms and pipelines, including ingestion, transformation, modelling, orchestration, optimisation, monitoring and defect resolution.\"},{\"question\":\"How does the role handle data governance and regulated data?\",\"answer\":\"It requires extensive experience with sensitive and regulated data and implementing strong controls around security, governance, lineage, quality, completeness and auditability.\"}]","Senior Data Engineer - Job Description - Remote / Home Working | PDF",1789317348]