6 of 6 Contract Azure Synapse Analytics Jobs in London

IR35 - Remote Role Overview We are seeking a skilled Data Warehouse Engineer to design, build, and maintain scalable data warehouse solutions within the Microsoft Azure ecosystem. The role focuses on developing robust data models, optimizing analytical queries, and supporting enterprise reporting through Azure SQL, OLAP technologies … powered semantic models. You will collaborate with data engineers, analysts, and business stakeholders to ensure reliable, high-performance data pipelines and analytics platforms. Key Responsibilities Data Warehouse Development Design and develop enterprise data warehouse solutions using Azure SQL Database/Azure SQL Managed Instance/Azure ...

looking for an experienced Senior Data Warehouse Engineer to lead the design and delivery of an end-to-end data warehouse on Azure for a wealth management firm undergoing a major digital and data transformation . You will take ownership of the data platform architecture, ingestion pipelines, dimensional models … layer , delivering a scalable Bronze/Silver/Gold medallion architecture and establishing best practices for data engineering and DevOps. Must Have Azure Stack Azure Blob Storage/ADLS Azure SQL Database Azure Data Factory (ADF) Azure Synapse Analytics Azure Functions Data ...

facing delivery environment. Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences Desirable Skills Experience with Azure Data Lake Storage, Azure Synapse Analytics or Azure Data Factory prior to Fabric migration. Familiarity with Microsoft Purview for data … governance and compliance. Exposure to Power BI semantic models and report development within Fabric. Experience with event-driven architectures using Azure Event Hubs or Kafka. Knowledge of infrastructure-as-code tools such as Terraform or Bicep for Azure resource provisioning. DP-600 (Fabric Analytics Engineer) certification ...

estate.You will not be writing strategy - instead, you'll be the technical lead who executes the strategy, driving engineering excellence across Microsoft Fabric, Databricks, Azure Data Services and Power BI.What You'll Be Doing Leading the engineering delivery of a modern Microsoft data platform, centred on Microsoft Fabric (Pipelines … Dataflows Gen2, Lakehouse, Notebooks). Building, optimising and maintaining ELT/ETL pipelines across Fabric, Azure Data Factory and Databricks. Delivering high-quality datasets across the medallion architecture (Bronze/Silver/Gold). Developing scalable models and Power BI semantic layers for enterprise reporting. Enhancing and supporting components ...

multiple sources. Develop and maintain Power BI dashboards and reports that provide actionable business insights. Implement data models (star schema, snowflake schema) optimized for analytics and reporting. Ensure data quality, consistency, and governance across the data warehouse. Optimize query performance and data refresh processes . Work closely with business … experience building dashboards in Power BI . Experience designing data models and semantic layers for BI reporting. Knowledge of ETL tools or frameworks (SSIS, Azure Data Factory, Informatica, etc.). Experience with data warehouse platforms (e.g., Snowflake, Azure Synapse, Amazon Redshift, SQL Server). Strong understanding ...

requires someone who has worked in secure, regulated public sector settings. You will be responsible for designing, building, and optimising data pipelines that enable analytics, reporting, and downstream data services across the organisation. Key Responsibilities Design, build, and maintain data pipelines using Databricks Develop ETL/ELT processes with … knowledge of Apache Spark , including PySpark and Spark SQL Proficiency with Python for data engineering Experience delivering solutions on cloud data platforms ( AWS preferred , Azure acceptable) Understanding of data lake and lakehouse architectures Ability to work autonomously and collaboratively within delivery squads Experience working within Central Government departments (highly ...