Job Description

Key responsibilities Profile and map the Co-Pilot data model to Navigator field by field agree profiling and cleansing rules with the data owners Build the ETL once as a reusable version-controlled pipeline then execute it in waves Run three to four incremental trial loads at production scale in pre-production each bigger and closer to the real thing Reconcile every load record counts financial and compliance spot checks and carry a named business sign-off per data set Scope the pipeline to whichever archive option Whitbread chooses: foundation and seed data only for a read-only archive plus transaction history if history is migrated into Navigator or a one-way transfer to low-cost storage Execute the final delta load at cutover from the rehearsed runbook Essential skills and experience Three-Six years or more data-engineering migration with strong ETL design and SQL ideally on Azure Data services Demonstrable production-scale migration experience including trial loads reconciliation and business sign-off Comfort with both relational and document targets and with data cleansing and mapping from a messy source Discipline around evidence: reconciliation packs not assurances Desirable Migration off Nintex K2 or a comparable low-code platform Experience of compliance records-retention data for example accident and RIDDOR records