5 of 5 Azure Synapse Analytics Jobs in Leeds

week on-site Role Overview We are seeking a proactive DevOps Engineer (SFIA Level 4) to support and maintain data platform infrastructure on Azure for a public sector client. You'll work with a reasonable degree of autonomy, contributing to infrastructure automation, pipeline reliability, and platform improvements, while collaborating … closely with senior engineers, data engineers, and the wider delivery team. Key Responsibilities Support the build, deployment, and maintenance of infrastructure for Azure-based data platforms Work with Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake to support data pipeline infrastructure ...

chance to do that without moving away from engineering. A UK Wealth Management business is modernising its enterprise data platform and moving from Azure Synapse to Microsoft Fabric. Theyre looking for a Senior Data Engineer who has genuine production experience with Fabric: not simply implementing something and moving … Designing and building solutions using Microsoft Fabric Fabric Lakehouse, Warehouse and OneLake Data pipelines and ETL/ELT Power BI SQL and data modelling Azure Data Lake Internal and third-party API integrations Azure DevOps, Git and CI/CD Production deployment and support Existing Azure Synapse ...

regulated industry experience (government, healthcare, financial services or similar) - Knowledge of modern cloud data platforms and Spark-based ecosystems, such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, Snowflake or equivalent - Experience supporting domain-oriented lakehouse, warehouse or data-product implementations - Experience with master-data management ...

Customer First mindset, creating unforgettable holidays and flights. Trusted, high- quality data is critical to this, and we’re looking for a Lead Data & Analytics Engineer to help drive delivery excellence and build a high-performing analytics engineering team. This role is analytics engineering led, with responsibility … senior stakeholders, while remaining close enough to the detail to ensure quality, manage risk, and support your team effectively. As our Lead Data & Analytics Engineer , you’ll have access to a wide range of benefits including: Mostly remote working, with one day per month in our Leeds Holiday House ...

line management to data engineers on your team. Key Responsibilities Discipline Expertise and Leadership Technology breadth : Deep, production‐grade experience across AWS & or Azure native services, with expert-level Databricks and/or Snowflake and an Agile delivery mindset. On AWS, you’re fluent across the core services … DataBrew, Kinesis, dbt Data management & metadata: Lake Formation, Glue Data Catalog, SageMaker Catalog/DataZone AI: Bedrock (including AgentCore) and SageMaker AI On Azure, you’re fluent across the core services, for example: Storage & lakehouse: SQL, PostgreSQL, Cosmos, Blob, Data Lake, OneLake, Fabric Warehouse Processing & ETL: Fabric Data Factory ...