10 of 10 Contract Azure Data Factory Jobs in London

Azure Data Engineer Rate - up to £450/day Outside IR35 Location - 2 days a week onsite in Central London Duration - 6 Months + Likely Extension We are working with a well-established consultancy supporting a high-impact data transformation programme for an end client based in Central London. They are seeking an experienced … Azure Data Engineer to join the project on an initial 6-month contract, with strong potential for extension. This role is Outside IR35 and offers £450/day, requiring 2 days onsite per week in Central London. Key Responsibilities - Azure Data Engineer: Design, build and maintain scalable and secure data pipelines on the Azure platform. Develop and deploy data ingestion processes using Azure Data Factory, Databricks (PySpark), and Azure Synapse Analytics. Optimise ETL/ELT processes to improve performance, reliability and efficiency. Integrate multiple data sources including Azure Data Lake More ❯

Robert Half Technology are assisting a market leading financial services organisation to recruit a Junior Data Engineer. Hybrid working - London based Role The Junior Data Engineer will assist in the design, development, and maintenance of scalable data pipelines and ETL/ELT processes in Azure. Write efficient and reliable SQL queries for data extraction, transformation, and analysis. Support data integration from various sources (internal systems, third-party vendors) into centralised data platforms. Monitor and troubleshoot data jobs and pipelines to ensure consistent and reliable delivery. Collaborate with analytics and reporting teams to deliver high-quality datasets for business intelligence. Participate in code reviews, documentation, and … team discussions as part of a collaborative engineering culture. Ensure data quality, integrity, and security best practices are upheld. Profile The Junior Data Engineer will ideally have a degree in Computer Science, Engineering, Mathematics, or a related field. 1-3 years of experience in a data engineering, data analytics, or software engineering More ❯

Trade Data Architect - £800 - £900 Per Day – 6 Months – London (Hybrid) - Commodities Overview: A market leading organisation operating in the physical commodities space are searching for an experienced Data Architect with strong experience on the Azure Data stack to join one of their growing teams in London on a hybrid basis. Role … Responsibilities: Design and develop Enterprise Data Architecture for Trade, Sales Ops and Finance use cases. Deliver effective Big Data solutions aligned with Business objectives. Responsible for creating a target state architecture that best enable seamless integration of complex systems and valuable Analytics. Own and develop Conceptual, logical, and Physical data models. Technical Requirements: Experience … data integration, data quality, and data governance. Extensive experience in working with big data technology tools and platforms such as Microsoft Azure Data Factory, Databricks, Unity Catalog, PySpark, Power BI, Synapse, SQL Server, Cosmos Db, Python. Understanding and application of cloud architectures and microservices in big More ❯

development. Experience with workload orchestration and autoscaling using KEDA (Kubernetes-based Event Driven Autoscaler), and familiarity with Celery for distributed task execution and background job processing, particularly in data pipeline or microservices environments Hands-on experience with Azure cloud services, especially Azure Data Factory, Azure Databricks, Azure Storage, and Azure Synapse. Proficiency in designing and deploying CI/CD pipelines using Azure DevOps (YAML pipelines, release management, artifact handling). More ❯

Looking for an Azure Data Enigneer to work on a collaborative team wokring on Gen AI/Agentic AI systems! Location: London (Hybrid – 2 days/month onsite) Contract: 12 month contract IR35: Inside IR35 Start Date: ASAP Key Skills Required Azure Data Factory Azure Functions SQL Python … or Copilot Studio Experience designing, developing, and deploying AI solutions Familiarity with PySpark, PyTorch, or other ML frameworks Exposure to M365, D365, and low-code/no-code Azure AI tools If interetsed please send a copy of your most recent CV and I will be in touch. Please note this role is only available for those with More ❯

Outside IR35) London (3 days/week on-site) 6-month initial contract The Role A major logistics business is undergoing a full rebuild of its legacy, siloed data estate - and we're hiring an experienced Analytics Engineer to help drive the transformation. You'll join a newly formed data team under a new Head of … Data, working on a clean-slate Azure-based platform. The role bridges data engineering and analytics, focused on building scalable data models, automated pipelines, and enabling self-serve analytics across the organisation. Key Responsibilities Build and maintain scalable data pipelines using Azure Data Factory and Databricks Develop transformation workflows in dbt, SQL, and Python Design dimensional models and semantic layers to support analytics use cases Implement automated data quality checks, monitoring, and alerting systems Create reusable data assets and documentation to support self-serve analytics via Power BI Work with analysts and business stakeholders to translate requirements into More ❯

Data and AI Consultant We are looking for a technical implementer to build designs on the project. The architecture, analytics strategy, governance framework, and client-facing expertise will be provided. This candidate will executes the vision.The proposal is to build three production-quality POCs that demonstrate the technical leadership in; data modernisation, AI-powered insights, and … systems integration. This is for one senior data engineer to build three flagship demonstrations Real-time Azure-to-AWS migration showcase (client-ready demo) AI-powered email intelligence system with natural language querying Document validation integration POC with working interface Essential skills Cloud Data Engineering: AWS (Aurora, DMS, Lambda, Kinesis), Azure Data Factory Real-time Streaming: Apache Kafka, AWS Kinesis, change data capture (CDC) Vector Databases: Pinecone, Weaviate, or Chroma etc. with LangChain integration API Development: RESTful services, third-party integrations Production Systems: Enterprise-grade monitoring, error handling, cost optimisation Outside IR35 Fully Remote Immediate start 3-6 Month Contract Please send CV's to me More ❯

Data and AI Consultant We are looking for a technical implementer to build designs on the project. The architecture, analytics strategy, governance framework, and client-facing expertise will be provided. This candidate will executes the vision. The proposal is to build three production-quality POCs that demonstrate the technical leadership in; data modernisation, AI-powered insights … and systems integration. This is for one senior data engineer to build three flagship demonstrations Real-time Azure-to-AWS migration showcase (client-ready demo) AI-powered email intelligence system with natural language querying Document validation integration POC with working interface Essential skills Cloud Data Engineering: AWS (Aurora, DMS, Lambda, Kinesis), Azure Data Factory Real-time Streaming: Apache Kafka, AWS Kinesis, change data capture (CDC) Vector Databases: Pinecone, Weaviate, or Chroma etc. with LangChain integration API Development: RESTful services, third-party integrations Production Systems: Enterprise-grade monitoring, error handling, cost optimisation Outside IR35 Fully Remote Immediate start 3-6 Month Contract Please send CV More ❯

strategic development initiatives. Mentor and coach team members, promoting a culture of continuous improvement. Skills: Relevant degree or equivalent experience. Expert-level proficiency in: .NET Core , C# , Angular , Azure Cloud Terraform , Azure Container Apps , Azure Data Factory , DataVerse SQL Server (T-SQL) , API Design & Development Strong analytical skills with the More ❯

What You'll Be Building You'll develop three fully functional, production-quality Proofs of Concept that demonstrate technical leadership in: Real-Time Azure-to-AWS Migration Demo - showcasing cross-cloud architecture AI-Powered Email Intelligence System - with natural language querying Document Validation POC - including interface and full integration Key Skills Required Cloud Data Engineering: AWS … Aurora, DMS, Lambda, Kinesis), Azure Data Factory Streaming & CDC: Apache Kafka, AWS Kinesis, change data capture AI/Vector Search: Pinecone, Weaviate, or Chroma with LangChain API Development: RESTful services, 3rd-party system integrations Production Standards: Monitoring, logging, cost optimisation, error handling Ideal Candidate Senior-level engineer with proven experience delivering client More ❯