26 to 42 of 42 Azure Synapse Analytics Jobs in the South West

Principal Data Consultant (Snowflake/Matillion) Join to apply for the Principal Data Consultant (Snowflake/Matillion) role at Snap Analytics Continue with Google Continue with Google Principal Data Consultant (Snowflake/Matillion) 1 week ago Be among the first 25 applicants Join to apply for the Principal Data Consultant (Snowflake/Matillion) role at Snap Analytics Get … authoring blogs, presenting at webinars, and engaging in external speaking opportunities. Technical Delivery Excellence You’ll design and optimise cloud-based data architectures (e.g. Snowflake, Databricks, Redshift, Google BigQuery, Azure Synapse) to support advanced analytics. You’ll build and automate scalable, secure, and high-performance data pipelines handling diverse data sources. You’ll work closely with our clients … mentor and coach team members, fostering a culture of continuous learning and collaboration. What you'll need to succeed... Experience 10+ years of professional experience working on data and analytics projects, with expertise in data migration, integration, and cloud-based data warehousing for enterprise organisations. Proven experience designing data architectures on platforms like AWS, Azure, or GCP. Technical More ❯

the latest cutting-edge cloud technologies. As part of this role, you will be responsible for some of the following areas • Design and develop scalable data pipelines to support analytics and operational reporting. • Build and maintain ETL/ELT processes to ingest, transform, and store data from various sources. • Collaborate with clients including both technical and non-technical stakeholders … in the role you will have • Solid experience designing and delivering data solutions focused on Databricks • Strong ETL experience with tools such as ADF or SSIS • Experience working with Azure technologies – Synapse, Fabric, Data Lake • Knowledge of data architecture principles and data modelling What is on offer? • Starting salary of up to £60,000 • 100% remote working with More ❯

the latest cutting-edge cloud technologies. As part of this role, you will be responsible for some of the following areas • Design and develop scalable data pipelines to support analytics and operational reporting. • Build and maintain ETL/ELT processes to ingest, transform, and store data from various sources. • Collaborate with clients including both technical and non-technical stakeholders … in the role you will have • Solid experience designing and delivering data solutions focused on Databricks • Strong ETL experience with tools such as ADF or SSIS • Experience working with Azure technologies – Synapse, Fabric, Data Lake • Knowledge of data architecture principles and data modelling What is on offer? • Starting salary of up to £60,000 • 100% remote working with More ❯

the latest cutting-edge cloud technologies. As part of this role, you will be responsible for some of the following areas • Design and develop scalable data pipelines to support analytics and operational reporting. • Build and maintain ETL/ELT processes to ingest, transform, and store data from various sources. • Collaborate with clients including both technical and non-technical stakeholders … in the role you will have • Solid experience designing and delivering data solutions focused on Databricks • Strong ETL experience with tools such as ADF or SSIS • Experience working with Azure technologies – Synapse, Fabric, Data Lake • Knowledge of data architecture principles and data modelling What is on offer? • Starting salary of up to £60,000 • 100% remote working with More ❯

authoring blogs, presenting at webinars, and engaging in external speaking opportunities. Technical Delivery Excellence You'll design and optimise cloud-based data architectures (e.g. Snowflake, Databricks, Redshift, Google BigQuery, Azure Synapse) to support advanced analytics. You'll build and automate scalable, secure, and high-performance data pipelines handling diverse data sources. You'll work closely with our clients … mentor and coach team members, fostering a culture of continuous learning and collaboration. What you'll need to succeed Experience 10+ years of professional experience working on data and analytics projects, with expertise in data migration, integration, and cloud-based data warehousing for enterprise organisations. Proven experience designing data architectures on platforms like AWS, Azure, or GCP. Technical … ELT tools (e.g. Matillion, Informatica, Talend) and cloud data platforms (e.g., Snowflake, Databricks, BigQuery). Expertise in data modelling techniques (e.g., star schema, snowflake schema) and optimising models for analytics and reporting. Familiarity with version control, CI/CD pipelines, and containerisation tools (e.g., Git, Jenkins, Docker, Kubernetes). Strong knowledge of relational and non-relational databases. Leadership & Commercial More ❯

and a focus on GDPR at all times To be successful in this role you will have . Coding experience with Python/PySpark Data pipeline development experience utilising Azure Data Factory or Fabric Pipelines Experience working within an Azure environment such as Lakehouse Architecture, Data Lake, Delta Lake, Azure Synapse Strong SQL knowledge Strong communication More ❯

Join to apply for the Azure Data Engineer role at IBM 1 day ago Be among the first 25 applicants Join to apply for the Azure Data Engineer role at IBM Introduction In this role, you’ll work in one of our IBM Consulting Client Innovation Centres (Delivery Centres), where we deliver deep technical and industry expertise to … pension plan of an additional 5% of your base salary paid by us monthly to save for your future. Your Role And Responsibilities A data engineer with expertise in Azure toolset advises on, develops, and maintains data engineering solutions on the Azure Cloud ecosystem. They design, build, and operate batch and real-time data pipelines using Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. This role also involves designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. The data engineer is proficient in Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse More ❯

and a focus on GDPR at all times To be successful in this role you will have . Coding experience with Python/PySpark Data pipeline development experience utilising Azure Data Factory or Fabric Pipelines Experience working within an Azure environment such as Lakehouse Architecture, Data Lake, Delta Lake, Azure Synapse Strong SQL knowledge Strong communication More ❯

and a focus on GDPR at all times To be successful in this role you will have . Coding experience with Python/PySpark Data pipeline development experience utilising Azure Data Factory or Fabric Pipelines Experience working within an Azure environment such as Lakehouse Architecture, Data Lake, Delta Lake, Azure Synapse Strong SQL knowledge Strong communication More ❯

and a focus on GDPR at all times To be successful in this role you will have . Coding experience with Python/PySpark Data pipeline development experience utilising Azure Data Factory or Fabric Pipelines Experience working within an Azure environment such as Lakehouse Architecture, Data Lake, Delta Lake, Azure Synapse Strong SQL knowledge Strong communication More ❯

and a focus on GDPR at all times To be successful in this role you will have . Coding experience with Python/PySpark Data pipeline development experience utilising Azure Data Factory or Fabric Pipelines Experience working within an Azure environment such as Lakehouse Architecture, Data Lake, Delta Lake, Azure Synapse Strong SQL knowledge Strong communication More ❯

access to data via SharePoint and other channels. Contributing to documentation and ensuring processes are clearly recorded. You’ll also gain exposure to a number of modern tools, including Azure Data Factory, Azure Synapse, Power BI, and Power Automate. Prior experience with these is a bonus, but not essential — training and support will be provided. With this … work in practice. Strong attention to detail and a proactive, methodical approach to problem-solving. Confidence working independently as part of a remote consultancy delivery team. Any exposure to Azure, Power BI or similar tools would be advantageous. What's in it for you... Long-term consultancy engagement - join a well-established client engagement with meaningful, day-to-day More ❯

access to data via SharePoint and other channels. Contributing to documentation and ensuring processes are clearly recorded. You’ll also gain exposure to a number of modern tools, including Azure Data Factory, Azure Synapse, Power BI, and Power Automate. Prior experience with these is a bonus, but not essential — training and support will be provided. With this … work in practice. Strong attention to detail and a proactive, methodical approach to problem-solving. Confidence working independently as part of a remote consultancy delivery team. Any exposure to Azure, Power BI or similar tools would be advantageous. What's in it for you... Long-term consultancy engagement - join a well-established client engagement with meaningful, day-to-day More ❯

Join to apply for the Azure Data Engineer role at IBM 2 days ago Be among the first 25 applicants Join to apply for the Azure Data Engineer role at IBM Introduction In this role, you’ll work in one of our IBM Consulting Client Innovation Centres (Delivery Centres), where we deliver deep technical and industry expertise to … pension plan of an additional 5% of your base salary paid by us monthly to save for your future. Your Role And Responsibilities A data engineer with expertise in Azure toolset advises on, develops, and maintains data engineering solutions on the Azure Cloud ecosystem. They design, build, and operate batch and real-time data pipelines using Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. This role also involves designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. The data engineer is proficient in Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse More ❯

relevant compliance standards and regulations, such as ISO 27001 and the Data Protection Act, is crucial. A solid understanding of corporate productivity and technology tools, including Microsoft Office and Azure, is necessary. Knowledge and experience with IT security frameworks, such as NIST and Cyber Essentials, and best practices in this area are also important. Desirable skills and qualifications include … in a relevant subject, such as Computer Science, Information Management, or Business Management. Experience and/or certification in leading data warehouse, analysis, and visualisation tools, such as Snowflake, Azure Synapse, Power Platform, Cognos, SAS, and Qlik, are highly valued. Relevant certifications, such as CISSP, PMP, ITIL, or CIO-level certifications, are advantageous. Experience with CAFM solutions, such More ❯

in a production-safe manner, using the latest technologies and with a DataOps culture. You can expect to get involved in a variety of projects in the cloud (AWS, Azure, GCP), while also gaining opportunities to learn about and use data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. More ❯

future of their data-driven products. What you'll do: Lead and develop a team of Tech Leads and engineering squads. Define and implement a robust data platform using Azure Cloud technologies. Collaborate with cross-functional teams to deliver high-impact, data-centric products. Ensure data integrity, security, and governance across the organization. What they're looking for: 10+ … years in data engineering, with 4+ years in senior leadership. Proven experience with Azure services (Data Factory, Synapse, Data Lake, SQL Database). Strong leadership, communication, and stakeholder management skills. Solid understanding of data architecture, modeling, and distributed systems. Be part of a dynamic, innovative, and collaborative team. Lead exciting projects that leverage AI and machine learning. Drive More ❯