

Randstad Digital
Data Specialist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Specialist on a 6-month contract in London (hybrid). Key skills include metadata management, data sourcing, and data lineage. Experience in investment banking is highly desirable. Familiarity with DAMA/EDMC and Azure is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
December 11, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Metadata #Scala #Business Analysis #Data Architecture #Azure #"ETL (Extract #Transform #Load)" #Automation #Data Management #Data Lineage #Documentation #Logical Data Model #MDM (Master Data Management)
Role description
Lead – Data Specialist
Contract: 6 months contract
Location: London Hybrid 2 days in office
Department: Data & Analytics
Reports to: Lead, Metadata & Data Management
About the Role
We are hiring a Lead – Data Specialist to drive new data capabilities. This pivotal role involves building and operationalising reference data, data sourcing, data lineage, and integrating data management tooling to support a new enterprise data platform. You will lead the development of business-critical data management capabilities, ensuring data is trusted, well-defined, and meets organisational standards. This is a key opportunity to shape the data foundations for a major strategic transformation.
Metadata & Lineage
• Drive the capture and management of metadata as part of change and operational deliverables.
• Maintain metadata repositories and process maps, resolving inconsistencies and escalating issues where needed.
• Collaborate with business analysts and solution designers to embed robust metadata practices.
Enterprise Data Models & Data Sourcing
• Co-develop enterprise data models alongside data architects and specialists.
• Map workflows, data attributes, and design changes to data models.
• Support logical data modelling and contribute to master data management.
• Document and update models in Confluence and assist with reporting-related changes.
Critical Data Management
• Support the definition and governance of critical data elements using tools such as Solidatus and Purview.
• Maintain logical lineage for critical data and lead stakeholder discussions to remediate breaks.
Data Management Tools & Platforms
• Support requirements definition for internal/external reference data used in the new platform.
• Contribute to integrating data management tooling across Data and IT teams.
• Enhance metadata and lineage metrics through automation where possible (e.g., Azure).
About You Essential Experience
• Significant hands-on experience as a Metadata Manager, Reference Data, or Data Sourcing Specialist.
• Proven track record in process re-engineering and design improvements.
• Expertise in technical design and user experience for data lineage.
• Familiarity with industry best practices (DAMA/EDMC desirable).
• Experience with metadata technologies and logical data modelling.
Highly Desirable
• Experience in Investment/Commercial Bank, Asset/Fund Manager.
• Experience managing mixed (direct/indirect) teams.
• Strong facilitation skills (workshops, backlog management).
• Knowledge of architecture frameworks (e.g., TOGAF).
Key Competencies
• Strong interpersonal and stakeholder management skills.
• Excellent process, control, and documentation capabilities.
• Tenacity and resilience in problem-solving.
• Ability to work effectively in remote or hybrid settings.
#DataSpecialist #DataManagement #MetadataManagement #DataLineage #DataGovernance #ReferenceData #DataSourcing #DataArchitecture #DataModelling #MasterDataManagement #AzureData #Purview #Solidatus #MicrosoftDataStack #Confluence #DataPlatforms
Lead – Data Specialist
Contract: 6 months contract
Location: London Hybrid 2 days in office
Department: Data & Analytics
Reports to: Lead, Metadata & Data Management
About the Role
We are hiring a Lead – Data Specialist to drive new data capabilities. This pivotal role involves building and operationalising reference data, data sourcing, data lineage, and integrating data management tooling to support a new enterprise data platform. You will lead the development of business-critical data management capabilities, ensuring data is trusted, well-defined, and meets organisational standards. This is a key opportunity to shape the data foundations for a major strategic transformation.
Metadata & Lineage
• Drive the capture and management of metadata as part of change and operational deliverables.
• Maintain metadata repositories and process maps, resolving inconsistencies and escalating issues where needed.
• Collaborate with business analysts and solution designers to embed robust metadata practices.
Enterprise Data Models & Data Sourcing
• Co-develop enterprise data models alongside data architects and specialists.
• Map workflows, data attributes, and design changes to data models.
• Support logical data modelling and contribute to master data management.
• Document and update models in Confluence and assist with reporting-related changes.
Critical Data Management
• Support the definition and governance of critical data elements using tools such as Solidatus and Purview.
• Maintain logical lineage for critical data and lead stakeholder discussions to remediate breaks.
Data Management Tools & Platforms
• Support requirements definition for internal/external reference data used in the new platform.
• Contribute to integrating data management tooling across Data and IT teams.
• Enhance metadata and lineage metrics through automation where possible (e.g., Azure).
About You Essential Experience
• Significant hands-on experience as a Metadata Manager, Reference Data, or Data Sourcing Specialist.
• Proven track record in process re-engineering and design improvements.
• Expertise in technical design and user experience for data lineage.
• Familiarity with industry best practices (DAMA/EDMC desirable).
• Experience with metadata technologies and logical data modelling.
Highly Desirable
• Experience in Investment/Commercial Bank, Asset/Fund Manager.
• Experience managing mixed (direct/indirect) teams.
• Strong facilitation skills (workshops, backlog management).
• Knowledge of architecture frameworks (e.g., TOGAF).
Key Competencies
• Strong interpersonal and stakeholder management skills.
• Excellent process, control, and documentation capabilities.
• Tenacity and resilience in problem-solving.
• Ability to work effectively in remote or hybrid settings.
#DataSpecialist #DataManagement #MetadataManagement #DataLineage #DataGovernance #ReferenceData #DataSourcing #DataArchitecture #DataModelling #MasterDataManagement #AzureData #Purview #Solidatus #MicrosoftDataStack #Confluence #DataPlatforms






