Technical Consultant – Data Migration

Company: Matchtech
Apply for the Technical Consultant – Data Migration
Location: London
Job Description:

Overview

In this contract role, you will lead data migration activities for a large-scale HR transformation, delivering accurate migrations into target systems. You will work within a global delivery context, partnering with cross-functional teams to ensure data quality and successful cutovers. You will design migration workflows, validate data, and produce documentation for business sign-off. This is an opportunity to shape HR data governance and enable a seamless transformation.

Responsibilities

  • Design and develop data migration workflows and automation solutions
  • Build and maintain data extraction, transformation, validation and reconciliation processes
  • Develop data cleansing reports and periodic Data Quality Reports (DQRs)
  • Monitor data quality metrics, identify defects and support remediation activities
  • Support data extraction from SAP SuccessFactors, SAP, legacy HR systems and third-party applications
  • Validate data for completeness, accuracy and consistency across migration cycles
  • Support mock loads, testing, cutover activities and production migrations
  • Prepare technical documentation, validation evidence and reporting for business sign-off

Key requirements

  • Experience in data migration, data conversion or system implementation projects
  • Strong SQL, data analysis and reporting skills
  • Experience with ETL, workflow or data integration tools
  • Strong understanding of data quality management, validation and reconciliation
  • Advanced Excel skills and the ability to analyse large datasets
  • Excellent analytical, technical problem-solving and attention-to-detail skills
  • Experience with SAP SuccessFactors and/or SAP HR systems would be advantageous
  • Knowledge of Alteryx, Power BI or similar reporting and automation tools would be beneficial
  • Stakeholder management and communication
  • Technical problem-solving
  • Attention to detail
  • SQL
  • ETL tools
  • Data quality management, validation and reconciliation

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Posted: October 17th, 2026