

Vector Resourcing
D365 Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a 12-month D365 Data Engineer position focused on migrating legacy data into Dynamics 365. Key skills include Azure Data Factory, ETL/ELT, data profiling, and compliance with GDPR. Experience in data engineering and BI is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
295
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🗓️ - Date
November 14, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Unknown
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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
#Data Storage #Microsoft Power BI #BI (Business Intelligence) #Business Analysis #Data Quality #GDPR (General Data Protection Regulation) #CRM (Customer Relationship Management) #Azure #Cloud #Logic Apps #Data Profiling #Datasets #Power Automate #Storage #Azure Data Factory #Data Engineering #Data Integration #Automation #"ETL (Extract #Transform #Load)" #ADF (Azure Data Factory) #AI (Artificial Intelligence) #Scala
Role description
We are searching for a Data Engineer who will play a vital role in delivering a new, data-heavy case management and political finance platform built on Dynamics 365. You will help move complex, inconsistent legacy data into a modern CRM-based solution, enabling better insight, reporting, and regulatory decision-making.
This is a 12-month fixed-term role within a small, focused programme team (Programme Lead, Technical Lead and three new hires), replacing the existing Political Finance Online system.
Responsibilities
• Design and implement scalable ETL/ELT pipelines to migrate legacy data into Dynamics 365.
• Work with highly ambiguous and unstructured data, profiling, cleansing, normalising and enriching it for use in the new platform.
• Develop data integration workflows using Azure Data Factory, Power Automate and Logic Apps.
• Collaborate with Business Analysts, Solution Architects, the Programme Lead and Technical Lead to understand data models, business rules and reporting needs.
• Define and implement data quality rules and validation checks to ensure accuracy, completeness and consistency.
• Ensure data handling and storage comply with GDPR, accessibility standards, and relevant electoral and regulatory requirements.
• Design and optimise data storage and retrieval patterns across cloud and any required on-premise environments.
• Support the design and delivery of datasets and models to feed Power BI dashboards and reports.
• Contribute to the design and implementation of automation and AI-driven features for case management and reporting.
We are searching for a Data Engineer who will play a vital role in delivering a new, data-heavy case management and political finance platform built on Dynamics 365. You will help move complex, inconsistent legacy data into a modern CRM-based solution, enabling better insight, reporting, and regulatory decision-making.
This is a 12-month fixed-term role within a small, focused programme team (Programme Lead, Technical Lead and three new hires), replacing the existing Political Finance Online system.
Responsibilities
• Design and implement scalable ETL/ELT pipelines to migrate legacy data into Dynamics 365.
• Work with highly ambiguous and unstructured data, profiling, cleansing, normalising and enriching it for use in the new platform.
• Develop data integration workflows using Azure Data Factory, Power Automate and Logic Apps.
• Collaborate with Business Analysts, Solution Architects, the Programme Lead and Technical Lead to understand data models, business rules and reporting needs.
• Define and implement data quality rules and validation checks to ensure accuracy, completeness and consistency.
• Ensure data handling and storage comply with GDPR, accessibility standards, and relevant electoral and regulatory requirements.
• Design and optimise data storage and retrieval patterns across cloud and any required on-premise environments.
• Support the design and delivery of datasets and models to feed Power BI dashboards and reports.
• Contribute to the design and implementation of automation and AI-driven features for case management and reporting.






