3 of 3 Azure Synapse Analytics Jobs in Yorkshire

cutting edge cloud data technologies. Senior Data Engineer Responsibilities: Design, develop, and optimise robust, scalable data pipelines and architectures to support business intelligence and analytics initiatives. Manage and maintain cloud-based data platforms (AWS, Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process … Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data availability. Develop, maintain, and enhance reporting and analytics capabilities through tools such as PowerBI, Tableau, or QuickSight. Apply best practices in data governance, data quality, and performance optimisation. Operate in an agile ...

love you to join us. What skills, knowledge and experience will you need? Expertise in Data Warehousing (e.g., Amazon Redshift, Snowflake, BigQuery, Azure Synapse, SAS Viya) and building enterprise data solutions. Strong knowledge of Analytics & Reporting, Data Lakes, BI tools, and best practices. Experience in Data Architecture … stakeholders like product owners, data scientists, engineers and other architects to deliver solutions that unlock the power of data. From enterprise data warehousing and analytics platforms to integration technologies and cloud-based services, you'll influence technology choices and set the direction for complex, high-profile initiatives. Your expertise ...

opportunity to join a high-performing agile team where your strengths will be recognised and nurtured. You'll be hands-on with cutting-edge Azure technologies, helping clients unlock the full potential of their data. Work Style: Remote-first with occasional travel to client sites and company events Location … engineering, modelling, analysis, and visualisation Leading client workshops and translating business needs into technical solutions Designing and implementing scalable ETL/ELT pipelines using Azure tools (Fabric, Databricks, Synapse, Data Factory) Building data lakes with medallion architecture Migrating legacy on-prem data systems to the cloud Creating impactful ...