Job Description

We are looking for data and analytics specialist at Manager level to join our Digital team. You'll focus on data migration alongside data engineering, governance or analytics. This role is ideal for someone with experience leading data-led engagements within consulting or project environments, combining practical technical expertise with strong delivery and client management skills. We are looking for an individual who can lead migrations from source assessment and planning through transformation, testing and cutover, while helping clients build reliable data foundations and turn data into insights. The role includes ownership of project delivery, stakeholder relationships and team development, supported by strong problem-solving skills, intellectual curiosity and a practical, commercially aware approach.

You'll be someone with:

• Experience translating business requirements into appropriate data architectures, data models and analytics solutions, including dashboards and reports that support decision-making
• Proven experience leading data migration projects or workstreams, from source discovery and profiling through mapping, cleansing, transformation, trial migrations, testing, reconciliation, cutover and post-migration support.
• Experience defining migration testing and reconciliation approaches, managing data quality issues and defects, documenting evidence and acceptance criteria, coordinating business validation/sign-off.
• Practical understanding of data migration patterns including full and incremental loads, change data capture, source-to-target mapping, reconciliation, cutover and performance optimisation
• Strong hands-on experience with modern data engineering platforms such as Databricks and/or Microsoft Fabric,
• Experience managing consulting engagements or multidisciplinary project teams
• Practical experience developing production-grade data pipelines and transformations using Python, PySpark and SQL
• Experience designing and implementing lakehouse or modern data platform architectures, including technologies such as Delta Lake, Azure Data Lake Storage and equivalent cloud-native services.
• Hands-on experience with enterprise ETL/ELT and orchestration technologies