26 to 43 of 43 Azure Synapse Analytics Jobs in England

Senior Azure Developer Competitive Salary + Excellent Benefits | Permanent | Hybrid We're looking for an experienced Azure Developer to join a growing data team, designing and delivering scalable cloud-based data integration and analytics solutions. Key Responsibilities Design, develop, and maintain Azure-based data integration solutions. … Build and support ETL processes, data pipelines, and application interfaces. Develop cloud-native integrations using Azure services including ADF, Synapse, Logic Apps, and Function Apps. Support real-time, batch, and event-driven data processing. Collaborate with architects, analysts, and developers to deliver high-quality data solutions. Maintain production ...

Data Engineering to join the team. The QA Data Engineer is responsible for ensuring the accuracy, reliability, and quality of data systems, pipelines, and analytics platforms. They design and implement automated testing frameworks, validate data transformations, and work closely with data engineers, analysts, and product teams to guarantee that … Data Engineering Testing tools like Great Expectations, dbt, pytest and data validation frameworks Experience of testing data platforms such as Snowflake, BigQuery, Redshift, Databricks, Azure Synapse Experience of testing pipelines in things like Airflow, Azure Data Factory, AWS Glue, Kafka Data Concepts ETL/ELT, data modelling ...

Responsibilities Define and own the multi-year roadmap for Systems of Execution (WMS, TMS, OMS) and Systems of Intelligence (demand planning, supply optimization, decision analytics). Architect transformation from monolithic legacy systems to composable, API-first, cloud-native SaaS using microservices and event-driven design. Embed AI/… strategy for forecasting, inventory optimization, routing, supplier risk, and digital twins. Deploy generative AI across product features (LLM assistants, automated reporting, anomaly explanation, conversational analytics). Build agentic AI frameworks for autonomous supply chain actions and integrate privacy-preserving and sandboxing patterns. Run an innovation lab for rapid POCs ...

strategies and roadmaps Strong hands-on experience building end-to-end AI systems (data pipelines, model development, deployment, monitoring) Deep experience with cloud platforms (Azure, AWS, or GCP) and cloud-native architecture Strong background in data engineering and large-scale data platforms (e.g., Spark, Databricks) Experience implementing MLOps frameworks … architect-level role, with strong technical leadership capability Key Skills Python (or similar programming languages) TensorFlow, PyTorch, or similar ML frameworks Cloud AI services (Azure AI, AWS SageMaker, GCP AI Platform) Data technologies (SQL/NoSQL, Spark, Databricks) API and microservices architecture DevOps/MLOps tooling Desirable Experience Experience ...

accuracy and completeness Write, optimise and maintain SQL/T-SQL queries for efficient data transformation Develop and maintain data models to support reporting, analytics and KPI tracking Monitor and improve data quality, performance and reliability across platforms Collaborate with business and technical stakeholders to deliver scalable, high-impact … with both technical and non-technical stakeholders, translating business requirements into data solutions Experience with Python or PySpark, particularly within Fabric Notebooks Exposure to Azure data services such as Data Factory, Synapse or Data Lake Power BI experience, including supporting reporting and dashboarding requirements What's on Offer ...

/T-SQL at scale Confidence taking ownership of workstreams and mentoring junior team members Desirable for both: PySpark/Python in Fabric Notebooks, Azure Data Factory/Synapse/Data Lake, Power BI, AI/ML exposure, DP-600 or DP-203 certifications. With two roles live ...

Hybrid or Remote) About the Role We're looking for experienced Data Engineers at all levels—from Data Engineer through to Senior, Lead, Principal, Analytics Engineer and Data Platform Engineer positions—for upcoming roles across data pipelines, warehouses, lakehouses and the platforms that data teams depend on. These … hands-on engineering roles where you'll build and operate the foundations that analytics, BI, data science and ML all stand on. You'll work across the full data engineering lifecycle—from ingestion and modelling through to transformation, orchestration, quality, observability and platform operation. The role suits someone ...

Hybrid Contract: 3 months with possible extension. Rate: £550 - £650 inside umbrella Purpose Design, build and assure scalable, secure data products and pipelines across Azure, AWS and Databricks. Lead data integration design, technical decisions and best practices, while mentoring engineers and enabling high-quality analytics, BI and data … science outcomes. Reporting & Collaboration Reports to Lead Data Engineer with oversight from Head of Data Operations & Engineering Works across Data Science, Analytics, Architecture, Cyber, Product and Delivery teams Acts as a senior technical lead, guiding engineers and influencing cross-team decisions Key Responsibilities Lead design and delivery of scalable ...

delivery of a high-profile central government programme. This role focuses on designing, building, and deploying scalable machine learning solutions to enable advanced analytics, automation, and decision-making across complex government systems. This is a hands-on engineering role, working closely with data scientists, analysts, architects, and product teams … Python (e.g. Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) Experience building and deploying ML models into production environments Strong knowledge of cloud platforms, particularly: Azure (ML Studio, Azure ML, Data Factory, Synapse) Experience in AWS environments is beneficial Experience with MLOps practices and tools (CI/CD pipelines ...

expertise. Experience working with large and complex datasets. Strong understanding of modern data architecture principles. Highly Desirable Experience Medallion Architecture (Bronze, Silver, Gold). Azure Data Factory, Synapse or related Azure data services. Public sector, policing or regulated environment experience. Existing SC or NPPV clearance. Apply ...

Senior Data Engineer to join a leading organisation on a contract basis. This role will suit someone with strong experience across the Azure data platform , particularly Databricks and PySpark , who can take ownership of data engineering delivery from design through to implementation. This is a hybrid role requiring … platforms, delivering scalable data pipelines, and supporting high-volume data processing in a cloud environment. Key Responsibilities Design and build scalable data pipelines using Azure technologies Develop and optimise solutions in Databricks using PySpark Work with large and complex datasets, including streaming and batch data Build and maintain data ...

Synapri are supporting Non-Profit Membership Organisation looking to hire a API & Integration Engineer to support and maintain integrations across Azure-based cloud platform, ensuring critical services remain secure, stable, and well-managed. You'll work across Azure API Management, Logic Apps, integrations, and Dynamics 365. Responsibilities: Design … build, and maintain integration flows using Azure Logic Apps and Azure Service Bus, Manage the source system access service for the data platform: provisioning service principals and API keys into Azure Key Vault Maintaining API documentation for each business system Conduct production deployment reviews for data pipeline ...

data warehousing concepts and implementation Deep knowledge of Kimball dimensional modelling methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow, ADF, etc.) Data Modelling Extensive experience designing … data migration projects Strong capability in: Source-to-target mapping Data transformation design Data reconciliation and validation techniques Cloud & Architecture Experience with cloud platforms (Azure, AWS, or GCP) Understanding of lakehouse architectures and hybrid data platforms Desirable Experience with medallion architecture (bronze/silver/gold layers) Knowledge ...

contract basis. The role focuses on designing, building and delivering solutions across the Microsoft cloud stack, with a strong emphasis on Microsoft Fabric and Azure data platform. Experience required: Hands-on experience delivering end-to-end data solutions across Microsoft Fabric and Azure, including OneLake, Lakehouse or Warehouse … Dataflows Gen2, Pipelines, Synapse and SQL Experience designing and building lakehouse and pipeline solutions from ingestion through to consumption ETL and ELT design experience, including data modelling using lakehouse patterns and star or snowflake schemas Experience migrating or integrating legacy data sources such as Dataverse and SQL into modern ...

Build modern data platforms using Microsoft Fabric and Azure Remote first role with monthly trips to the office closest to you. Work with Microsoft Fabric, Azure, SQL and PySpark. Join a growing data function where you'll have real ownership and influence. We're working with a large … data products, integrating data from multiple source systems and ensuring data is accessible, reliable and fit for purpose. You'll work within a modern Azure environment and contribute to the ongoing development of the organisation's data platform.This isn't a role where you'll simply sit behind ...

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 ...

analytical and reporting needs of The Clatterbridge Cancer Centre. This role will focus heavily on the Microsoft BI stack, with particular emphasis on Azure Fabric, to build and manage a scalable, secure, and high performing data warehouse within a Secure Data Environment (SDE).The Trust has invested in Microsoft … Azure platform with an ambition to provide a highly functional research facility and therefore a significant component of the role involvescontributing to the design and delivery of a Trusted Research Environment (TRE). This will require a strong understanding of secure data access frameworks, governance andcompliance, with particular attention ...

Role: Senior Azure DevOps Engineer (Kafka) Location: Remote (UK) Salary: £75k + 10% Bonus Key Skills: Azure Terraform Kubernetes Kafka Data platforms Overview We're partnering with a fast-growing SaaS organisation building a modern, data-driven platform that powers better insight into behaviour, performance, and collaboration … cloud and data infrastructure. This is a hands-on role spanning cloud infrastructure, DevOps, and data platform engineering. The Role You'll work across Azure cloud infrastructure and data platforms, helping to build scalable, secure systems and improve how data flows across the organisation. You'll also play ...