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

Overview

In this role you own complex data migrations for law firms, combining SQL-driven analysis, ETL, and data validation to move from legacy systems to cloud-based platforms like Actionstep. You’ll work across multiple client projects, shaping migration standards and tooling. You solve challenging data problems, ensure accuracy, and collaborate with cross-functional teams to deliver go-lives. This is a hands-on, impact-driven position with room to influence migration processes and the wider data capability.

Pay / Benefits

• Fully remote, UK-based
• Competitive salary DOE
• Evening/weekend go-live flexibility with time off in lieu
• Supportive, collaborative tech environment
• Autonomy to own migrations
• Varied, technically challenging projects

Responsibilities

• Analyze legacy databases, schemas, and complex data structures
• Extract, transform, map, and migrate data to cloud platforms (primarily Actionstep)
• Develop and improve SQL scripts, ETL routines, and migration utilities
• Profile data, identify inconsistencies, and define cleansing requirements
• Manage trial migrations, UAT, and production cutovers
• Validate migrated data and reconcile financial datasets
• Investigate and resolve migration defects and technical challenges
• Coordinate migration activities across concurrent client projects
• Produce migration specifications, mapping docs, and validation reports
• Contribute to process improvements, tooling, and documentation
• Support occasional out-of-hours go-lives with time off in lieu

Key requirements

• Strong hands-on SQL and relational database knowledge
• Proven data migration experience between business-critical systems
• Experience in ETL, data mapping, and data transformation
• Ability to interpret unfamiliar schemas and undocumented legacy structures
• Experience managing migration across multiple projects or workstreams
• Excellent troubleshooting, analytical, and data reconciliation skills
• Independent worker with ability to meet deadlines and resolve issues
• Practical understanding of data protection and secure handling of sensitive data

• problem-solving
• analytical thinking
• independence
• SQL and relational databases
• ETL principles and data mapping
• Data cleansing and validation

…