Data Migration Lead

Job Description:

Senior Data Migration Lead

6 Month contract (Inside IR3)

Central London - Hybrid working - 2 days per week onsite

Core banking

We are currently supporting one of our banking clients who require a Senior Data Migration Lead to work on a complex digital transformation. Responsibilities:

• Clearly define, present, and own the end-to-end data migration strategy, associated migration plans, and execution approaches for the T24-to-Data Hub and CRM transitions.
• Direct, mentor, and work alongside a dedicated, next-level-down execution team to ensure delivery milestones are met on time and within scope.
• Implement robust data migration protocols, ensuring absolute data integrity and strict regulatory compliance.
• Oversee the mapping and movement of data from core banking databases into modern data lakes and financial data hubs.
• Confidently present migration frameworks, risk mitigation strategies, and progress reports to C-suite executives and senior stakeholders.

Experience required:

• A thorough understanding of banking data structures, regulatory requirements, and financial compliance standards.
• Direct experience working with Temenos T24 core banking databases
• Hands on experience managing complex CRM data migrations within a financial services context.
• Extensive experience leveraging Databricks for large-scale data processing, transformation, and migration.
• Deep familiarity with modern data lake architectures specifically Snowflake
• Advanced understanding of data migration protocols, ETL pipelines, and relevant data engineering libraries.

If this is something of interest please contact Kelly Dayus on (see below)

£700.00/day

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• A thorough understanding of banking data structures, regulatory requirements, and financial compliance standards.
• Direct experience working with Temenos T24 core banking databases
• Hands on experience managing complex CRM data migrations within a financial services context.
• Extensive experience leveraging Databricks for large-scale data processing, transformation, and migration.
• Deep familiarity with modern data lake architectures specifically Snowflake
• Advanced understanding of data migration protocols, ETL pipelines, and relevant data engineering libraries.