Morson Edge

Senior Data Migration Engineer (MS BI Stack)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Migration Engineer (MS BI Stack) on a long-term contract (12 months+) in a banking transformation programme. Key skills include Azure Data Factory, SQL, and extensive data migration experience in regulated environments.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
February 18, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Datasets #Automated Testing #Migration #SSIS (SQL Server Integration Services) #SQL (Structured Query Language) #Scala #SSAS (SQL Server Analysis Services) #Data Warehouse #SSRS (SQL Server Reporting Services) #"ETL (Extract #Transform #Load)" #Data Migration #BI (Business Intelligence) #Data Profiling #Data Architecture #Azure Data Factory #Cloud #ADF (Azure Data Factory) #Data Quality #Agile #Synapse #Azure #Databricks #Data Mapping #Dimensional Modelling #DevOps #Documentation #Data Lake #Microsoft Power BI #Deployment
Role description
Long-Term Contract (12 Months+) | Banking Transformation Programme | Immediate Interviews We are seeking an experienced Senior Data Migration Engineer to join a major data transformation programme within a leading banking organisation. This is a long-term contract opportunity (12 months+) at the centre of a large-scale modernisation initiative. The programme focuses on migrating complex legacy data platforms into secure, scalable, cloud-based environments, enabling high-quality, data-driven decision-making across the business. You will play a key role in delivering robust, well-governed migration solutions within a regulated environment. What you’ll be doing • Lead end-to-end data migration activities from discovery and analysis through to build, validation, and deployment. • Design and develop scalable ETL/ELT pipelines across on-premise and Azure-based platforms. • Perform detailed source-to-target data mapping, defining transformation rules, derivations, and reconciliation logic. • Analyse complex legacy datasets where documentation may be limited. • Conduct comprehensive data profiling and support data quality remediation. • Translate business and regulatory requirements into clear, structured technical specifications. • Develop, optimise, and troubleshoot advanced SQL solutions. • Contribute to data warehouse and analytics platform design and enhancement. • Support CI/CD implementation and automated testing practices within an Agile delivery environment. • Produce and maintain high-quality technical and mapping documentation. About you We recognise that exceptional candidates bring diverse experience — if this role excites you, we encourage you to apply. You will bring: • Extensive experience delivering large-scale data migration programmes, ideally within financial services or other regulated environments. • Deep expertise across the Microsoft BI stack (SSIS, SSRS, SSAS, T-SQL) and modern Azure data services. • Strong Azure engineering capability including Azure Data Factory, Synapse, Databricks, Data Lake, Fabric and Power BI. • Advanced SQL skills (T-SQL and/or PL/SQL). • Strong understanding of ETL/ELT, data warehousing, dimensional modelling and BI principles. • Experience working within Agile environments with exposure to DevOps and automated deployment practices. • Excellent stakeholder communication skills and the ability to work autonomously. Nice to have: • Experience integrating with or migrating data from Salesforce. • Exposure to or experience in data architecture and solution design, including data modelling and platform design decisions. Why join? • Long-term contract engagement (12 months+) with strong programme continuity. • Work on a high-profile banking data transformation initiative. • Tackle complex, enterprise-scale migration challenges. • Collaborate with experienced data and technology professionals. • Immediate shortlisting and interview availability.