

Whitehall Resources
Data Engineer (Metadata Management & Data Modelling) - SC Cleared
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Metadata Management & Data Modelling) - SC Cleared, offering a 6-month contract at an inside IR35 rate. Requires active SC clearance, data modelling experience, basic Python skills, and familiarity with Axon/Abacus. Hybrid work in Shropshire.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
April 18, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Inside IR35
-
🔒 - Security
Yes
-
📍 - Location detailed
Shropshire, England, United Kingdom
-
🧠 - Skills detailed
#Data Management #UML (Unified Modeling Language) #Data Engineering #Swagger #Data Lineage #Axon #API (Application Programming Interface) #Compliance #Python #Documentation #Classification #Metadata #Data Catalog
Role description
Data Engineer (Metadata Management & Data Modelling) - SC Cleared
Whitehall Resources require a Data Engineer focusing on Metadata Management & Data Modelling), with active SC clearance, to work with a key client on a 6 month initial contract.
• This role will ideally involve on site work in Shropshire 2 days per week, although there is likely to be flexibility on this.
• Inside IR35.
• Active SC clearance required.
Data Engineer (Metadata Management & Data Modelling) - SC Cleared
Job Description:
Purpose of the Role: To support delivery of the Domain API by ensuring all new API data structures, definitions, and attributes are aligned with enterprise data standards, metadata policies, and master data ownership across ETMP, ETDS, DWIT, MDTP, and related systems.
Required Skillset
• Strong communication and consultancy skills: This is a client-facing role.
• Data Modelling experience or knowledge: A good experience may be challenging at A6 level, so foundational knowledge is acceptable.
• Basic Python proficiency, as the role will leverage GenAI to build models.
Key Responsibilities
• Metadata Catalogue Management: Identify all relevant data attributes and maintain Axon with definitions, ownership, relationships, and any governance gaps.
• Compliance with Data Standards: Map API requirements to enterprise standards, validating naming conventions, semantic consistency, MSOP rules, and domain classifications.
• Data Lineage & Structural Validation: Validate lineage, structure, and definitions across key systems of record including ETMP, ETDS, DWIT, MDTP, NRS, and RCM.
• Governance Reviews: Ensure API request/response data adheres to controlled vocabularies, approved sources, and enterprise compliance policies.
Tools & Technical Proficiency
• Axon/Abacus experience: Good to have metadata catalogue, data domain mapping, lineage documentation. Abacus for architecture compliance and linking data models.
• Beneficial: EDC/IDQ, ERD/UML tools, OpenAPI/Swagger understanding.
Data Engineer (Metadata Management & Data Modelling) - SC Cleared
Whitehall Resources require a Data Engineer focusing on Metadata Management & Data Modelling), with active SC clearance, to work with a key client on a 6 month initial contract.
• This role will ideally involve on site work in Shropshire 2 days per week, although there is likely to be flexibility on this.
• Inside IR35.
• Active SC clearance required.
Data Engineer (Metadata Management & Data Modelling) - SC Cleared
Job Description:
Purpose of the Role: To support delivery of the Domain API by ensuring all new API data structures, definitions, and attributes are aligned with enterprise data standards, metadata policies, and master data ownership across ETMP, ETDS, DWIT, MDTP, and related systems.
Required Skillset
• Strong communication and consultancy skills: This is a client-facing role.
• Data Modelling experience or knowledge: A good experience may be challenging at A6 level, so foundational knowledge is acceptable.
• Basic Python proficiency, as the role will leverage GenAI to build models.
Key Responsibilities
• Metadata Catalogue Management: Identify all relevant data attributes and maintain Axon with definitions, ownership, relationships, and any governance gaps.
• Compliance with Data Standards: Map API requirements to enterprise standards, validating naming conventions, semantic consistency, MSOP rules, and domain classifications.
• Data Lineage & Structural Validation: Validate lineage, structure, and definitions across key systems of record including ETMP, ETDS, DWIT, MDTP, NRS, and RCM.
• Governance Reviews: Ensure API request/response data adheres to controlled vocabularies, approved sources, and enterprise compliance policies.
Tools & Technical Proficiency
• Axon/Abacus experience: Good to have metadata catalogue, data domain mapping, lineage documentation. Abacus for architecture compliance and linking data models.
• Beneficial: EDC/IDQ, ERD/UML tools, OpenAPI/Swagger understanding.






