Platform Engineer - Remote

• Lead the discovery and assessment of approximately 40-50 legacy data sources comprising thousands of tables and jobs
• Facilitate structured workshops with business owners to classify assets into Retire, Archive, Deprecate, or Strategize categories
• Analyze and map complex legacy transformation logic to downstream business outcomes, ensuring critical functionality is preserved
• Define and plan migration waves by grouping data products based on business criticality, dependency chains, and delivery capacity
• Partner with the AI/Automation Lead to validate the accuracy and clarity of GenAI-generated logic explanations
• Embed with the first migration team to identify onboarding friction points, provide hands-on guidance, and continuously improve documentation and processes
• Plan and manage UAT activities for 50-60 data products across multiple business units
• Assess and triage defects, clearly distinguishing between technical implementation issues and gaps in business logic or requirements
• Own the Ready for Production sign-off process, ensuring business users have confidence in the accuracy, completeness, and usability of the migrated data

Technologies:

• AI
• Azure
• Databricks
• SQL
• Snowflake
• Cloud
• Fabric
• Support, We are looking for a Platform Engineer to join our team remotely, offering a competitive rate of £450 per day. We specialize in Data & AI recruitment and are proud sponsors of various tech events. You will be part of a dynamic team where your contributions will directly impact how we manage and migrate data, ensuring key business functionalities are maintained throughout the process.

• Strong SQL capability with the ability to navigate complex data landscapes and end-to-end data lineage from raw to curated layers
• Hands-on familiarity with modern data platforms and tooling, including Snowflake, Databricks, Azure, and ingestion tools such as Azure Data Factory
• Experience using, or a strong desire to learn, Generative AI tools for code analysis, logic interpretation, and automated documentation
• Confident leading triage and discovery workshops with senior business and technical stakeholders
• Able to untangle poor or fragmented data onboarding experiences and turn them into scalable, automated, and repeatable processes
• Comfortable operating in a dynamic environment where responsibilities evolve across discovery, build, and scale phases