5 of 5 Azure Synapse Analytics Jobs in Northamptonshire

data lakehouse, data governance, Big Data, AI/ML, reporting and data visualisation. Knowledge of IT infrastructure, networking, security and cloud technologies such as Azure (Azure integration and data Services, Azure Data Factory, Azure Synapse Analytics, Azure Databricks Collaborated with Data Engineers to … IAM) Concepts: Understanding of directory services, identity lifecycle management, and privilege management. Familiarity with technologies like REST, SCIM, Active Directory, LDAP, and cloud platforms (Azure, AWS, GCP). Knowledge of automation tools and concepts for streamlining verification processes. Ability to create clear and effective visualizations to communicate data insights. More ❯

and consistency throughout the process. This role is ideal for someone with a strong technical background in data engineering and experience with Microsoft/Azure data tools, particularly in a CRM or Dynamics/D365 environment. In the medium term, there will be scope and opportunity to build modern … cloud-native data solutions using Azure Synapse or Microsoft Fabric. Key Responsibilities As the sole Data Engineer for this programme of work, perform ETL (Extract, Transform, Load) processes to migrate data into D365 CE modules (e.g., Sales, Customer Service, Field Service). Work with data from legacy CRM … Engineering experience, ideally with some prior exposure to a Dynamics 365 CE (Sales, Customer Service, Field Service) or Microsoft Dataverse environment. Experience with Microsoft Azure technologies and data services (e.g., Azure Data Factory, Azure Synapse Analytics). Strong hands-on experience with ETL tools such More ❯

About the role North Northamptonshire Council are working to modernise their data management and visualisation processes. We are working to deliver our data analytics strategy. This role will support the design and delivery of the data warehousing, data infrastructure and (where required) the migration of existing data sources (data … Excel power query. The current technology stack is predominantly based on Microsoft SQL databases, and we are focussing our data strategy on the Microsoft Azure, Fabric and Power BI toolsets. What will you be doing? The Key Responsibilities of the role will be: Understand and document the data landscape … support decision making around required toolsets and processes Define and build required data warehouse solution/s to meet the requirements of the data analytics strategy Lead any required data migrations from on-premises or 3rd party hosted databases/repositories Build and support data-pipelines using ETL tools More ❯

they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to … skilled Data Solution Architect with deep expertise in designing and implementing cloud-native data platforms . The ideal candidate will have strong experience across Azure and AWS , with the ability to create scalable, secure, and high-performing data architectures that meet complex business needs. You will play a key … data solutions align with modern best practices in cloud architecture and governance. Responsibilities: Design and architect robust, scalable, and cost-effective data platforms on Azure and AWS . Translate business requirements into end-to-end technical solutions, covering data ingestion, transformation, storage, analytics, and visualization. Present architectural options More ❯

attitude and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks … e.g., Azure Data Factory, Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including More ❯