1 to 14 of 14 Azure Synapse Analytics Jobs in the North of England

data management principles, data governance frameworks, and data security standards. Expertise in designing and implementing data platforms, data lakes, data warehouses, and self-service analytics solutions. Proficiency in data modelling, ETL processes, data integration, and data visualisation tools. Previous Cloud Migration experience essential (either Synapse, BigQuery, Redshift) Expert … level experience working with Azure and or Certified Azure Data Engineer Associate Interest on and exposure to on Generative AI are beneficial. Desired exposure to modern metadata management, ontologies and knowledge graphs. As a recognised Top 50 Inclusive Employer in the UK, we know that diversity means success more »

highly skilled consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. more »

Lead Azure Data Engineer - Manchester - £60,000-£75,000 My client has an immediate and exciting opportunity available for an experienced Azure data engineer to join and help lead their small team of developers. You'll have the opportunity to expand your skills by delivering valuable data insights … drive change across various business areas. Key Responsibilities: Develop and implement data and reporting solutions using the latest Microsoft technologies: SQL Server Integration Services, Azure Synapse Analytics, Azure Analysis Services, Azure Data Lake, Azure SQL Database, Azure Data Factory, and Power BI. Collaborate … governance efforts. Establish best practices for code management and deployment between cloud environments. Experience Required: Strong customer focus and communication skills Experience with Microsoft Azure data platform technologies Expertise in T-SQL, SSIS, Azure Data Factory Proficiency in GIT for CI/CD source control Experience with Azure more »

Senior Data Engineer | Full Time | On-Site | Python | SQL | DataBricks| Azure| As a Senior Data Engineer, you will play a key technical role in design, implementation, and continuous refinement of data pipelines and architectures within Microsoft’s Azure ecosystem. This role involves leveraging Azure’s diverse data … services, such as Data Factory, Databricks, Azure SQL and Synapse Analytics, among others, to build scalable and secure data solutions that support complex onward processing by both operational and analytical teams. What will this role look like? - Develop and maintain scalable, efficient, and robust data architectures. This … system performance, identify bottlenecks, and implement changes to improve data processing and pipeline/systems performance. - Work closely with Data Scientists within the Operational Analytics team to understand data needs and deliver solutions that support data-driven decision making within the business. - Provide guidance and mentorship to more junior more »

and automation whilst maintaining a core SAS user base. Requirements: Demonstratable proficiency with SAS platforms Strong commercial experience with SQL Hands on experience with Azure Data Factory and the build of data pipelines Proficiency in Python for data manipulation, transformation and analysis Experience with Azure Synapse including more »

highly skilled consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. more »

highly skilled consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. more »

highly skilled consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. more »

highly skilled consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. more »

highly skilled consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. more »

highly skilled consultants, delivering modern data platforms into large organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. more »

Lead Azure Data Engineer, Manchester - My client has an immediate and exciting opportunity available for an experienced Azure data engineer to join and help lead their small team of developers. You'll have the opportunity to expand your skills by delivering valuable data insights to drive change across … various business areas. Key Responsibilities: Develop and implement data and reporting solutions using the latest Microsoft technologies: SQL Server Integration Services, Azure Synapse Analytics, Azure Analysis Services, Azure Data Lake, Azure SQL Database, Azure Data Factory, and Power BI. Collaborate with team members … governance efforts. Establish best practices for code management and deployment between cloud environments. Experience Required: Strong customer focus and communication skills Experience with Microsoft Azure data platform technologies Expertise in T-SQL, SSIS, Azure Data Factory Proficiency in GIT for CI/CD source control Experience with Azure more »

Data Platform Engineer (Azure) On behalf of our award-winning client based in Manchester, we are recruiting for an experienced Data Platform Engineer. As a Data Platform Engineer, you will deliverthe IT Support/corporate services business objectives and implement IT Services to meet business infrastructure, platform needs, and … growth targets. Data Platform Engineer (Azure)will be responsible for: Accountability & Responsibility for the continued development and delivery of the IT Data Operations support delivery. Lead the development, implementation, and establish a technology life cycle and continuous improvement/development (CI/CD) of applications and systems. Lead the … 24x7 Lead the planning, development, documentation, implementation and testing of the corporate Disaster Recovery and Business Continuity processes and procedures The Data Platform Engineer (Azure) will have the following: Understanding and detailed knowledge of Microsoft Azure DevOps, ITIL, Azure Synapse, Databricks, PowerBI, Data Factory, HD Insights more »

customers become more successful in becoming a data-guided organisation. The Data Architect is responsible for planning, designing and delivering elegant solutions using Microsoft Azure data services. The Data Architect engages in the full project lifecycle from presales through to operational handover and is accountable for the technical delivery … a preference towards using new technology to solve business problems. Responsibilities Designing cloud-based data platforms and data solutions using a wide range of Azure Services including Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Synapse, Azure Cosmos DB, Azure Data Factory and Azure Blob storage Building conceptual, logical and physical data models optimised for analytical use cases Defining data architecture framework, standards and principles Mapping data from source to target and establishing current & future state based on business requirements Provide technical leadership and mentoring to team members more »