16 Azure Synapse Analytics Jobs in the North of England

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 »

need good experience with Pyspark, Python, SQL, ADF and preferably Databricks experience Job description: Building new data pipelines and optimizing data flows using the Azure cloud stack. Building data products from scratch. Support Business Analysts and Data Architects with discovery and best practices. Self-directed and comfortable supporting the … data needs of multiple teams, systems and products. What’s required ? Advanced Azure knowledge and experience working and migrating data products from on-prem to Azure. Experience building and optimizing ‘big data' data pipelines, architectures and data sets using Py-spark. Experience building real-time data pipelines using Event … hub, storage queues and Azure stream analysis. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Cloud Big Data Analytics in Azure Synapse Analytics, Azure Analysis Services Data Ingestion and Storage including more »

responsible for providing strategic leadership and technical expertise in the design and development of our client’s Data Solutions, namely cloud data platforms, IoT analytics, data integration and migration projects. You will set the technical standard across the organisation, helping to evaluate new and emerging technologies and shaping the … to deadlines. Ability to consider how solutions fit within the company’s wider portfolio of work. Required: Experience designing cloud data platforms in either Azure/AWS or significant on-premise design experience. 5+ years prior experience in data engineering or business intelligence roles. Extensive ETL and data pipeline … design experience, technology agnostic. Experience implementing solutions using at least one of the following technologies Azure Data Factory, Azure Event Hubs, Azure Data Lake Storage, Azure Function Apps, Azure Synapse Analytics, AWS Glue, AWS S3, AWS Lambda Functions, AWS Redshift, Databricks, Snowflake, Google 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 »

Knowledge of industry systems/technologies supporting Data Management/Business Intelligence Significant experience and training in Microsoft SQL Server, SSMS, SSIS, SSAS, ADF, Azure Synapse Analytics and Cloud technologies. Experience of developing large scale enterprise DW Solutions utilising the Microsoft BI stack Experience of working in more »

Data Platform Engineer (Azure) On behalf of our award-winning client based in Manchester, we are looking for an experienced Data Platform Engineer. As a Data Platform Engineer, you will deliver the 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. 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 »

to £75,000 10-15% Annual Bonus Fully Remote or Hybrid TCM Partners are supporting an exciting organisation who have invested heavily in their Azure platform over the last 2 years. This new role is for an individual to join and help the business mature & develop their Azure … couple of months should there be an urgent requirement to do so. Key Skills Required Must have strong Data Platform Engineering experience within the Azure stack. Must have strong experience with Infrastructure as Code (Terraform or Bicep). Azure DevOps build and release YAML pipeline skills. Good knowledge …/experience with Azure Synapse, Data factory and DataBricks. Confident and comfortable leading engagements, conversations with different teams and Senior stakeholders. Please note before applying that the business cannot offer VISA Sponsorship 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 »

design and implementation of robust data pipelines and advanced scripts. You will play a key role in architecting dynamic data warehousing systems on the Azure platform, harnessing the power of data lakes, Databricks, and Synapse Analytics. Your contributions will significantly propel this organisation into a new era of … goals. Develop and deploy scalable data pipelines for the ingestion, incremental loading, transformation, and modeling of data. Architect agile data warehousing systems on the Azure platform, utilising data lakes, Databricks, and Synapse Analytics. Enhance data workflows for large datasets using Databricks, exploiting distributed computing capabilities and coding adaptability. … Engineering, or related field. Extensive experience in designing and implementing data pipelines, ETL processes, and data warehousing solutions. Proficiency in cloud platforms such as Azure, with hands-on experience in data lakes, Databricks, and Synapse Analytics. Strong programming skills in languages such as Python, SQL, and Scala. Experience more »

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 »

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 »