10 of 10 Permanent Azure Synapse Analytics Jobs in the North of England

Role – Azure Data Engineer Technology – MS Fabric, Azure, PowerBI Location – Leeds, UK Compensation – Competitive (including bonus) Your Role As an Azure & Microsoft Fabric Lead Developer, you will lead the design and development of enterprise‐grade data pipelines, lakehouses, and analytics solutions using Azure Data Services … Microsoft Fabric for client program. You will be responsible for building scalable ingestion, transformation, governance, and reporting layers aligned to client standards, workforce analytics requirements, and Trust‐level data governance. You will collaborate closely with architects, SMEs, BI developers, data engineers, platform teams, and external partners (Microsoft) to ensure ...

point data first lands on the platform, through the Bronze, Silver and Gold layers of our Medallion Architecture, and all the way to analytics, AI and self‐service reporting. Working within the Microsoft Azure and Databricks ecosystem, you’ll help build a data platform that’s scalable, flexible … built to last. Your work will directly support high‐impact use cases, including advanced analytics, pricing models, AI/ML solutions and regulatory reporting — ensuring teams across the business can trust and use data with confidence. You’ll collaborate closely with colleagues in Data Engineering, Data Science, Pricing, Platform ...

Data Architect Up to £125,000 About the Role We are seeking a Data Architect to support the design and delivery of modern Azure-based data solutions within a fast-growing data consultancy environment. This role plays a key part in helping clients define and deliver scalable, cloud-native … data platforms that enable advanced analytics and AI-driven insights. This position sits at the centre of client engagements, shaping end-to-end data architectures across areas such as data ingestion, integration, storage, warehousing and cloud infrastructure. You will be responsible for designing robust, secure and cost-efficient data ...

architecture using recognised frameworks such as The Open Group Architecture Framework. Hands-on experience designing and delivering modern data platforms using technologies such as Azure Data Lake Gen2, Azure Synapse Analytics, Microsoft Fabric, Snowflake, Oracle, SAP or Teradata. Strong expertise in data integration and pipeline development … using tools such as Azure Data Factory, Microsoft Fabric, Talend, IBM DataStage, SAS DI Studio or AWS Glue. Advanced data modelling, transformation and querying skills using languages such as SQL and Python. Experience delivering data quality, metadata management and governance solutions using tools such as Microsoft Purview, Collibra Data ...

looking for a DBA to join their growing team. The successful candidate will be responsible for designing and maintaining robust database solutions across Azure VM & cloud environments, whilst enforcing best practices in SQL development and source control. The role would suit an experienced DBA with a strong background … Server and Azure, with a proven track record of managing a secure, high performance database and data warehouse. Key skills required: Proven record developing & supporting MI & Data Warehouse systems SQL Server Management Studio SSIS MS Azure (Data Factory) Visual Studio Sharedo Azure Synapse/Databricks Python ...

cutting edge cloud data technologies. Senior Data Engineer Responsibilities: Design, develop, and optimise robust, scalable data pipelines and architectures to support business intelligence and analytics initiatives. Manage and maintain cloud-based data platforms (AWS, Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process … Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data availability. Develop, maintain, and enhance reporting and analytics capabilities through tools such as PowerBI, Tableau, or QuickSight. Apply best practices in data governance, data quality, and performance optimisation. Operate in an agile ...

someone with strong stakeholder management skills, excellent documentation standards and solid experience with SQL, Power BI, JIRA and Confluence. Exposure to Tableau, Snowflake, Databricks, Azure Synapse or ADF would be highly beneficial. we’re building a collaborative, inclusive and innovative culture where everyone is welcome and empowered ...

About Us At Oakland, we help businesses unlock the power of their data. Whether it’s data strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands‐on experts who love solving problems … work will span a diverse range of clients and problem spaces. At Oakland, we operate across Data Platforms, Data Management, Data Strategy, AI, and Analytics and Insight, so a strong understanding of these areas and how they come together in a cohesive architecture is important. You will design ...

reporting, integration and technology teams What we’re looking for Strong data engineering experience in a cloud environment Experience with GCP, AWS or Azure Strong SQL and ideally Python Good understanding of data warehousing, data modelling and reporting/insight platforms Experience working with CI/… structured deployment processes An understanding of modern cloud data platforms and warehousing technologies such as BigQuery, Snowflake, Redshift, Synapse or Databricks Ability to work autonomously and prioritise your own workload Confidence working with non-technical stakeholders A pragmatic approach - able to balance best practice with commercial delivery ...

delivery teams in bringing those solutions to life. You will be at the forefront of designing end‐to‐end data and AI ecosystems across Azure and Microsoft Fabric, enabling organisations to unlock insight, automation and value from their data. From discovery through to delivery, you will influence technical direction … clarity and alignment across stakeholders. Architect Modern Data & AI Platforms Design end‐to‐end data platforms, including ingestion, lakehouse/warehouse, semantic models and analytics layers. Architect solutions using Azure and Microsoft Fabric, ensuring scalability and long-term maintainability. Integrate Machine Learning and AI capabilities into the wider ...