Data Engineer

The successful Data Engineer will be responsible for designing and building robust data pipelines, supporting large-scale data migration activities, and enabling reporting and analytics capabilities across a complex enterprise environment., * Design, develop, and optimise scalable ETL/ELT pipelines to support data migration, integration, and reporting requirements.

• Build data ingestion and transformation solutions across multiple source and target systems.
• Analyse existing datasets, schemas, and data structures to support mapping and migration activities.
• Work closely with solution architects and suppliers to implement target data models and integration patterns.
• Drive data quality initiatives, including validation, cleansing, monitoring, and exception management.
• Support testing, trial migrations, cutover activities, and production readiness throughout the programme lifecycle.

• Strong commercial experience as a Data Engineer delivering solutions within large-scale transformation, migration, or enterprise change programmes.
• Expert knowledge of ETL/ELT development, data integration, and the design of scalable data pipelines.
• Proven experience delivering complex data migration and transformation projects involving multiple source and target systems.
• Strong understanding of data modelling, relational databases, data warehousing, and data lake architectures.
• Hands-on experience with Microsoft Azure data services and cloud-based data platforms.
• Experience working with technologies such as Azure Data Factory, Azure Synapse Analytics, Python, ETL tooling, API integrations, and enterprise-scale data platforms.
• Strong knowledge of data quality, governance, compliance, monitoring, and data integrity frameworks, with experience handling large and complex operational datasets.
• We are ideally seeking candidates with active NPPV 3 Clearance & experience working within policing / public sector environments.