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Follow →Jefferson Frank in Preston is seeking a Senior Data Engineer to lead the evolution of our data engineering capabilities. This role shapes enterprise-wide data strategy, architecture, platforms and standards, driving scalable data pipelines and cloud adoption.
You will work in a collaborative tech team, translating business requirements into robust data capabilities and enabling data-driven decision making across the organisation.
Designs and builds scalable, real-time data pipelines and cloud-native infrastructure for a high-performance trading firm to ensure secure and reliable data handling.
Designs and maintains scalable data pipelines and lakehouse architectures, integrating SAP, CRM, and cloud sources while ensuring data quality and governance.
The Senior Data Engineer will design and deliver data solutions using AWS, Azure, PySpark, and SQL within government and defense sectors. The role involves collaborating with architects and stakeholders to build robust data integration pipelines in a hybrid work environment.
Lead the design, build, and governance of enterprise data pipelines and models using Azure Synapse, Databricks, and SQL, while mentoring teams and ensuring data quality, security, and compliance.
Build and maintain scalable data pipelines using Python, cloud platforms, and Databricks to support analytics and operations.
Design and maintain scalable data pipelines for a fintech company using AWS services and Terraform, enabling data-driven decision-making.