Undisclosed
Data Modeler
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Modeler/Architect on a contract until 31/12/2025, located in London (hybrid). Pay is up to £483 p/d. Requires significant banking sector experience, expertise in data modelling, SQL, and strong communication skills.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
483
-
🗓️ - Date
October 8, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Inside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#Strategy #Data Management #Data Storage #Data Integration #Cloud #Security #SQL (Structured Query Language) #Databases #Data Warehouse #Python #Database Design #Data Lineage #Data Quality #"ETL (Extract #Transform #Load)" #Leadership #Data Strategy #Kafka (Apache Kafka) #Data Architecture #Storage #Compliance #Data Governance
Role description
Role Title: Data Modeller/Architect
Duration: contract to run until 31/12/2025
Location: London, hybrid 2/3 days per week onsite
Rate: up to £483 p/d Umbrella inside IR35
Role purpose / summary
• Significant experience in data architecture or enterprise data modelling, ideally at a major bank or investment bank.
• A great understanding of banking products, risk frameworks, regulatory data requirements and financial markets data.
• Expertise in data modelling tools and frameworks with previous experience scaling models across global functions
Key Skills/ requirements
Design and Development:
Create and implement data architecture, including data models, databases, data warehouses, tailored for capital markets operations and analytics.
Data Governance & Quality:
Establish and enforce data governance policies, data lineage standards, and data quality frameworks to ensure the integrity, accuracy, and security of financial data.
Technology Selection:
Identify, evaluate, and implement suitable data technologies and cloud platforms (optional) to support data storage, processing, and analysis.
Data Integration:
Define strategies for integrating data from various sources, ensuring interoperability between different capital markets systems.
Stakeholder Collaboration:
Work closely with other Data Domains, analysts, technical teams to understand data requirements and align data strategy with business objectives.
Regulatory Compliance:
Ensure that the data architecture and policies comply with relevant financial regulations and standards.
Strategic Thinking:
Develop a long-term data vision and roadmap that supports the evolving needs of capital markets firms.
Skills Required
Technical Expertise:
Proficiency in data modelling, database design, SQL, Python, Kafka(optional), and experience with ETL tools and cloud data platforms.
Data Management:
Strong knowledge of data warehousing solutions.
Capital Markets Knowledge:
Understanding of the specific data requirements, challenges, and regulatory landscape within the capital markets sector.
Communication:
Excellent communication skills to translate complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders.
Leadership:
Ability to provide technical leadership, mentor teams, and foster a collaborative, data-driven culture.
All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
Role Title: Data Modeller/Architect
Duration: contract to run until 31/12/2025
Location: London, hybrid 2/3 days per week onsite
Rate: up to £483 p/d Umbrella inside IR35
Role purpose / summary
• Significant experience in data architecture or enterprise data modelling, ideally at a major bank or investment bank.
• A great understanding of banking products, risk frameworks, regulatory data requirements and financial markets data.
• Expertise in data modelling tools and frameworks with previous experience scaling models across global functions
Key Skills/ requirements
Design and Development:
Create and implement data architecture, including data models, databases, data warehouses, tailored for capital markets operations and analytics.
Data Governance & Quality:
Establish and enforce data governance policies, data lineage standards, and data quality frameworks to ensure the integrity, accuracy, and security of financial data.
Technology Selection:
Identify, evaluate, and implement suitable data technologies and cloud platforms (optional) to support data storage, processing, and analysis.
Data Integration:
Define strategies for integrating data from various sources, ensuring interoperability between different capital markets systems.
Stakeholder Collaboration:
Work closely with other Data Domains, analysts, technical teams to understand data requirements and align data strategy with business objectives.
Regulatory Compliance:
Ensure that the data architecture and policies comply with relevant financial regulations and standards.
Strategic Thinking:
Develop a long-term data vision and roadmap that supports the evolving needs of capital markets firms.
Skills Required
Technical Expertise:
Proficiency in data modelling, database design, SQL, Python, Kafka(optional), and experience with ETL tools and cloud data platforms.
Data Management:
Strong knowledge of data warehousing solutions.
Capital Markets Knowledge:
Understanding of the specific data requirements, challenges, and regulatory landscape within the capital markets sector.
Communication:
Excellent communication skills to translate complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders.
Leadership:
Ability to provide technical leadership, mentor teams, and foster a collaborative, data-driven culture.
All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
