
Data Integrity Lead
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Data Integrity Lead – Global POS Transformation
Location: Dublin or Reading (Hybrid)
Job Type: Fixed Term Contract – 18 Months
About the Role
A leading international retailer is undertaking a strategic global replacement of its
Point of Sale (POS) systems—and we're looking for a Data Integrity Lead to play a
pivotal role in this transformation. This is more than a technical role: it's a strategic
opportunity to shape how data flows, integrates, and matures across a global
enterprise.
You'll be responsible for safeguarding data accuracy, consistency, and completeness
across a complex integration landscape. From tactical improvements to long-term
automation, you'll help deliver a future-ready data strategy that supports seamless
global rollout and operational excellence.
Key Responsibilities
Design and deliver a global data integrity strategy for POS transformation
Lead data validation and reconciliation across legacy and target systems
Build automated monitoring and alerting tools to ensure real-time data accuracy
Interpret and troubleshoot XMLs, APIs, and ETL flows across integrated
platforms
Collaborate with architects and engineering teams to mature the integration
landscape
Ensure data integrity across Microsoft Azure and other enterprise platforms
Drive tactical improvements that align with long-term automation goals
Produce technical documentation and support knowledge transfer across teams
Support compliance, audit, and data governance initiatives
Strategic Impact
This role is central to enabling global scalability and operational resilience. You'll
ensure that data flows cleanly and securely across all systems—from POS to ERP
and beyond—supporting the rollout of integrations across 16+ countries and
thousands of stores.
Skills & Experience
Proven background in data engineering, with hands-on experience in data
validation and migration
Deep understanding of integration landscapes and enterprise data flows
other MS platforms
Experience with XML interpretation, API mapping, and ETL pipelines
Strong knowledge of data profiling, cleansing, and reconciliation techniques
Ability to design and implement automated data quality solutions
Excellent communication skills across technical and non-technical audiences
Experience in global retail transformation programmes
Familiarity with SAP, Oracle, or similar enterprise platforms
Exposure to data privacy regulations (e.g., GDPR)
Certification in data governance or architecture (e.g., DAMA, CDMP)
Experience with cloud-based monitoring tools (e.g., Power BI, Splunk)
Why Join?
This is a rare opportunity to lead data integrity efforts at the heart of a global
transformation. You'll work with cutting-edge technologies, influence strategic
direction, and help shape the future of retail operations across continents.
Seniority level- Seniority levelMid-Senior level
- Employment typeFull-time
- Job functionInformation Technology
- IndustriesRetail
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