Data Migration Specialist / Data Engineer – SQL, ETL & LegalTech – Remote

In this role, you own data migration workstreams for law-firm projects, solving complex legacy data challenges and delivering cloud-based migrations (primarily to Actionstep). You’ll work across multiple client engagements, shaping migration processes and tooling while ensuring data accuracy and secure handling. You’ll collaborate with cross-functional teams and take technical ownership from analysis to go-live, with opportunities to influence migration methodology.

• Fully remote
• UK-based
• competitive salary DOE
• full-time permanent
• flexible hours around go-lives
• time off in lieu

• Analyze legacy databases, schemas, and complex data structures
• Extract/Transform/Load data into cloud platforms, mainly Actionstep
• Develop and maintain SQL scripts, ETL routines, and migration utilities
• Profile data, define cleansing requirements, and ensure data quality
• Manage trial migrations, UAT, and production cutovers
• Validate migrated records and reconcile critical data (financial data)
• Investigate defects and drive resolution of migration issues
• Coordinate migration activities across concurrent client projects
• Create migration specifications, mapping docs, and validation reports
• Contribute to improvements in migration processes, automation, tooling, and documentation
• Support occasional out-of-hours go-lives with time off in lieu

• Strong hands-on SQL skills and solid relational database knowledge
• Proven track record of migrating data between business-critical systems
• Experience in ETL, data mapping, data cleansing and validation
• Ability to interpret unfamiliar schemas and undocumented legacy structures
• Experience managing migration across multiple projects/workstreams
• Excellent troubleshooting, analytical, and data reconciliation abilities
• Independent worker capable of meeting deadlines and resolving technical problems
• Practical understanding of data protection and secure handling of sensitive information

• Problem-solving
• Analytical thinking
• Attention to detail
• SQL and relational databases
• ETL principles and data transformation techniques
• Data mapping and cleansing