8 of 8 Permanent Azure Synapse Analytics Jobs in the South West

data team, working closely with architects, analysts, and business stakeholders to unlock insights and enable innovation. What You'll Be Doing: Design and build robust, automated data pipelines using Azure Data Factory, Synapse, dbt, and Databricks. Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI … secure handling of sensitive data in line with GDPR and internal policies. What We're Looking For: Solid experience in data engineering or backend data development. Strong experience with Azure data services (e.g., Data Factory, Dake Lake, Synapse, Databricks) and tools like dbt. Proficiency in SQL and Python, with a solid understanding of data modelling and transformation. Experience … roles may be subject to successful background checks including a DBS and Credit Check. Tenth Revolution Group/Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI More ❯

the seat warm" kind of role. You'll be at the heart of a major transformation, helping the business bridge the gap between legacy systems and a cutting-edge Azure-based data platform. Senior Data Engineer: What You'll Be Doing Maintain and enhance the existing SQL-based systems (SSIS, SSRS, SSAS). Collaborate with the Lead Engineer to … deliver scalable, cloud-first solutions using Azure technologies. Ensure seamless integration between legacy and modern platforms. Work closely with finance teams to modernise their data processes Bring leadership and gravitas to a business-facing role. Senior Data Engineer: Must-Have Experience: Strong SQL skills and experience with SSIS, SSRS, SSAS Data warehousing, ETL processes, best practice data management Azure cloud technologies (Synapse, Databricks, Data Factory, Power BI) Python/PySpark Proven ability to work in hybrid data environments Ability to manage and lead on and offshore teams Exceptional stakeholder management and communication skills with the ability to talk to a non-technical audience Apply today and be part of something transformational. Reasonable Adjustments: Respect and equality are More ❯

ll do Provide documentation for database development, data migration, and integration processes. Understand complex data structures, identify issues, and suggest solutions. Contribute to expanding our cloud data storage and analytics platform. Specify and document data migrations and integrations. Lead data mapping activities between systems. Perform gap analysis. Interpret data models with the data architect to produce data mappings. Support … relational databases. Experience with complex data migrations and integrations. Good communication and collaboration skills. Technical skills Microsoft SQL Server 2016+. Transact-SQL: queries, stored procedures, views, functions. Visual Studio. Azure DevOps, Team Foundation Server. Azure SQL, Data Factory, Synapse, Stream Analytics, Data Explorer, Fabric. T-SQL, some Python and/or R is a plus. Microsoft More ❯

talents Drive the recruitment, retention, and development of top-tier engineering talent within the data engineering team Define and drive the overall data platform strategy with a focus on Azure Cloud to ensure that the organisation's data infrastructure is scalable, reliable, and aligned with business objectives Oversee the design, implementation, and ongoing optimization of the data platform, leveraging … Azure technologies such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database Ensure the data platform supports data engineering, analytics, and data science initiatives across squads Ensure the data platform enables easy access to high-quality , secure, and compliant data for all stakeholders, fostering a self-service … analytics environment Cross-Squad Coordination & Alignment: Ensure alignment across multiple squads to meet company-wide data objectives and maintain strategic coherence Facilitate collaboration between product management, data science, analytics, and engineering teams to deliver data-driven products and services Define shared goals , success metrics, and timelines for squads to ensure that efforts are aligned with broader business goals More ❯

a pivotal moment. You'll be instrumental in designing and implementing the organisation's first enterprise-wide data strategy, building a trusted, AI-ready data estate, and enabling advanced analytics across departments including HR, Finance, Commercial, and Digital. What You'll Be Doing: Define and lead the enterprise data strategy and governance framework. Architect scalable, Azure-based data … platforms to support BI, analytics, and AI. Integrate fragmented data sources into a unified, accessible, and secure data ecosystem. Enable predictive analytics and machine learning through clean, well modelled datasets. Collaborate with stakeholders across the business to align data initiatives with strategic goals. Promote ethical and sustainable data practices, including compliance with GDPR. What We're Looking For … Significant experience in data architecture, with a strong track record in enterprise data strategy and systems integration. Deep expertise in Azure data services e.g. Azure Data Factory, Azure Data Lake, Azure Synapse, Azure Databricks. Strong stakeholder engagement skills - able to translate complex data concepts into business value. Experience preparing data estates for AI/ More ❯

data integrity and GDPR compliance To be successful in the role you will have Hands-on coding experience with Python or PySpark Proven expertise in building data pipelines using Azure Data Factory or Fabric Pipelines Solid experience with Azure technologies like Lakehouse Architecture, Data Lake, Delta Lake, and Azure Synapse Strong command of SQL Excellent communication More ❯

data integrity and GDPR compliance To be successful in the role you will have Hands-on coding experience with Python or PySpark Proven expertise in building data pipelines using Azure Data Factory or Fabric Pipelines Solid experience with Azure technologies like Lakehouse Architecture, Data Lake, Delta Lake, and Azure Synapse Strong command of SQL Excellent communication More ❯

Experience and skills Our ideal candidate would have experience in the following areas: Proven experience leading technical teams and delivering AI and data projects in a cloud environment (preferably Azure). Strong hands-on development skills. Our main application stack is based on .Net and C# Deep understanding of machine learning, data pipelines, and MLOps practices. Experience with Azure services such as Azure Machine Learning, Azure Data Factory, Azure Synapse, and Azure Functions. Implementing modern retrieval techniques such as vector search, semantic search and Retrieval-Augmented Generation (RAG) using tools like Azure Cognitive Search, FAISS, Pinecone, or Weaviate. Familiarity with data governance, privacy, and ethical AI principles. Experience with DevOps tools and More ❯