Randstad Digital

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer specializing in Microsoft Azure, offering a 6-month contract in London (hybrid). Pay ranges from £250 to £275/day. Key skills include data engineering, Microsoft Azure Data Services, SQL, and ETL processes.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
275
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🗓️ - Date
October 2, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Microsoft Azure #Data Integration #Data Dictionary #Documentation #Data Pipeline #Azure #Microsoft Power BI #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Storage #Data Storage #BI (Business Intelligence) #Data Lake #Data Engineering
Role description
Data Engineer (Microsoft Azure) Location: London / Hybrid 2-3 days in office Type: 6 months contract Rate: £250 to £275/a day PAYE About the Role We are seeking a Data Engineer to support the design, build, and maintenance of modern data solutions on the Microsoft Azure platform. You will play a key role in ensuring data is accessible, secure, and efficient, while collaborating with stakeholders to deliver solutions that meet strategic business needs. This is an exciting opportunity for someone motivated to learn, develop, and contribute to large-scale transformation initiatives in a dynamic environment. Key Responsibilities • Support the development of data pipelines and storage solutions • Experience with Microsoft Azure Data Services (Fabric desirable). • Assist in mapping and migrating data constructs into the Bank’s approved Fabric instance. • Contribute to documentation and artefacts that support engineering efforts. • Business Entity Mastering, Data Taxonomy and Data Dictionary. • Knowledge of CI/CD • Participate in Proof of Concept (PoC) development for data storage and transformation solutions. • Support the Business Entity Mastering (BEM) to Fabric transformation through pipeline development and data modelling. • Ensure all work aligns with governance, controls, and technical standards. • Proven experience in data engineering. • Strong understanding of data integration and management practices. • Knowledge of Data Lake, Power BI, SQL. • Familiarity with ETL processes and best practices. Key Competencies • Motivated to learn and grow in a dynamic environment. • Strong organisational and technical skills with excellent attention to detail. • Resilient, solution-focused, and able to see the bigger picture. • Team player with proven ability to build trusted relationships across functions. • Proficient in Microsoft Office, including PowerPoint and Excel. • SQL