

Data Modeler - ETL, Data Warehouses, QLIK
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Modeler with 5+ years of experience, focusing on ETL, QLIK, and data warehousing. Contract length is 3-6 months, offering £750-£850 per day. Fully remote with occasional London office visits; expertise in Data Vault required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
850
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🗓️ - Date discovered
August 19, 2025
🕒 - Project duration
3 to 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
Inside IR35
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#Qlik #ERWin #Data Cleansing #NoSQL #Scrum #Data Mart #Data Management #Vault #Data Lake #AWS (Amazon Web Services) #Metadata #DataStage #RDBMS (Relational Database Management System) #SSIS (SQL Server Integration Services) #Physical Data Model #Data Warehouse #Agile #Scripting #Cloud #"ETL (Extract #Transform #Load)" #Big Data #AWS Glue #SQL (Structured Query Language) #Data Vault
Role description
Data Modeler x 2
• 3-6 month
• contracts available
• Fully remote - occasional trip into London office
• £750-£850 per day - Inside IR35
Key Skills:
• Data Transformation & ETL - QLIK
• AWS, other Cloud
Data Modeler - London Markets
We're looking for a dedicated Data Modeler to join a leading organisation in the London markets. This is a hands-on contract role (not an Architect, not a Developer-who-dabbles, not a Manager-in-hiding). You'll be laser-focused on designing and delivering enterprise-grade data models across warehouses, lakes, and vaults.
The Role
You'll be responsible for:
Designing and developing conceptual, logical, and physical data models.
Implementing models across RDBMS, ODS, data marts, and data lakes (SQL/NoSQL).
Translating business needs into robust, long-term data models.
Applying Data Vault 2.0 techniques in real-world implementations.
Supporting metadata management, governance, and best practices with tools like Erwin or ER/Studio.
What We're Looking For (Must-Haves)
5+ years hands-on experience as a Data Modeler (your CV should scream "Data Modeler," not hide it in bullet 17).
2+ years hands-on Data Vault modelling.
Strong background in data warehouses, data lakes, and enterprise big data platforms in multi-data-centre contexts.
Proficiency with metadata management and data modelling tools (Erwin, ER/Studio, or similar).
Nice-to-Haves
ETL/Data Transformation experience - ideally Qlik Compose or AWS Glue (alternatives like DataStage, SSIS acceptable).
Cloud exposure (AWS preferred).
Familiarity with modern dev methodologies (Agile/Scrum, TDD).
Knowledge of testing tools, scripting, and data cleansing techniques
Data Modeler x 2
• 3-6 month
• contracts available
• Fully remote - occasional trip into London office
• £750-£850 per day - Inside IR35
Key Skills:
• Data Transformation & ETL - QLIK
• AWS, other Cloud
Data Modeler - London Markets
We're looking for a dedicated Data Modeler to join a leading organisation in the London markets. This is a hands-on contract role (not an Architect, not a Developer-who-dabbles, not a Manager-in-hiding). You'll be laser-focused on designing and delivering enterprise-grade data models across warehouses, lakes, and vaults.
The Role
You'll be responsible for:
Designing and developing conceptual, logical, and physical data models.
Implementing models across RDBMS, ODS, data marts, and data lakes (SQL/NoSQL).
Translating business needs into robust, long-term data models.
Applying Data Vault 2.0 techniques in real-world implementations.
Supporting metadata management, governance, and best practices with tools like Erwin or ER/Studio.
What We're Looking For (Must-Haves)
5+ years hands-on experience as a Data Modeler (your CV should scream "Data Modeler," not hide it in bullet 17).
2+ years hands-on Data Vault modelling.
Strong background in data warehouses, data lakes, and enterprise big data platforms in multi-data-centre contexts.
Proficiency with metadata management and data modelling tools (Erwin, ER/Studio, or similar).
Nice-to-Haves
ETL/Data Transformation experience - ideally Qlik Compose or AWS Glue (alternatives like DataStage, SSIS acceptable).
Cloud exposure (AWS preferred).
Familiarity with modern dev methodologies (Agile/Scrum, TDD).
Knowledge of testing tools, scripting, and data cleansing techniques