26 to 44 of 44 Permanent Azure Synapse Analytics Jobs

business. The Data Engineer will be responsible for developing robust data engineering solutions that reduce manual processes, improve data quality, and enable self-service analytics at scale. You will have strong experience in data architecture, ETL development, and modern data warehousing practices, including the application of Kimball methodology … processes. Strong experience of Kimball data modelling techniques (e.g. star schema, dimensional modelling). Experience working within a Microsoft data stack (e.g. SQL Server, Azure Data Factory, Azure Synapse, Microsoft Fabric, or similar). Experience working with structured data from multiple operational systems. Strong understanding of data ...

London, UK/HybridJob Type: FTEWe are seeking a highly experienced AI Consultant to design, implement, and drive enterprise-grade AI solutions on the Azure platform Microsoft AI Foundry. This role combines hands-on experience, solution architecture, and technical leadership, with responsibility for guiding teams and proactively supporting multiple … survey documents, correspondence).Experience applying Responsible AI frameworks in practice: bias assessment, fairness metrics, explainability techniques and model cards.Demonstrable hands-on experience with Microsoft Azure AI Foundry: project setup, model catalogue, evaluation frameworks, and deployment pipelines.Proficiency with Azure OpenAI Service: GPT model deployment, fine-tuning, content filtering ...

Senior Analytics Engineer - SQL/Azure Data Factory/Fabric - is required by fast growing, international organisation. Job purpose Due to their continued success in their online platform, they are expanding their portfolio to increase their current offerings, adding more products to their corporate intelligence and due diligence … solutions. They have a new and exciting opportunity for a Senior Analytics Engineer to join the team based at their Head Office in Oxford. This opportunity is to work with their Data & BI Team, scoping out new potential developments and redevelopments of their data platform used by their clients. ...

relationships with heads of Professional Services, Finance, HR, Sales, and Operations to understand their data challenges and deliver solutions Lead development of self‐service analytics capabilities that empower non‐technical users across the business Partner with Finance on financial reporting, forecasting models, and business performance analytics Support Professional … data architecture on Microsoft Fabric, guiding technology choices for product and business intelligence needs Provide architectural oversight for data pipelines, warehousing solutions, and analytics platforms without necessarily being hands‐on day‐to‐day Ensure compliance with data privacy regulations GDPR and food industry requirements Champion adoption of modern data ...

Customer First mindset, creating unforgettable holidays and flights. Trusted, high quality data is critical to this, and we're looking for a Lead Data & Analytics Engineer to help drive delivery excellence and build a high performing analytics engineering team. This role is analytics engineering led, with responsibility … senior stakeholders, while remaining close enough to the detail to ensure quality, manage risk, and support your team effectively. As our Lead Data & Analytics Engineer , you'll have access to a wide range of benefits including: Mostly remote working, with one day per month in our Leeds Holiday House ...

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 ...

post holder will define and deliver a modern, scalable and secure data ecosystem that enables business intelligence, population health management, system integration and advanced analytics across the Essex health and care system. The role will lead the development of enterprise data architecture, interoperability standards and engineering practices, ensuring high … Community: Championing care model redesign that supports community and neighbourhood health. From Analogue to Digital: Enabling clinically driven transformation through digital innovation, data analytics and evidence-based improvement. KEY DUTIES AND RESPONSIBILITIES To deliver on the job description set out above, the job holder will be expected to deliver ...

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 ...

with SQL for querying, exploring and shaping data Working knowledge of at least one cloud data platform (for example Snowflake, BigQuery, Redshift, Databricks or Azure Synapse) A good understanding of the data lifecycle: ingestion, transformation (ETL or ELT), modelling and getting data into a usable state Able … visualisation tool (Power BI, Tableau, Qlik or Looker) Some Python for data manipulation and scripting Familiarity with cloud platforms (AWS or Azure) and connecting source systems such as CRM and ERP via APIs Exposure to modern AI tooling (LLMs, copilots, Snowflake Cortex or similar) Snowflake ecosystem experience Note ...

forefront of Data & AI transformation. You'll work with major organisations to design and deliver next-generation data platforms that enable AI, advanced analytics and intelligent automation, while developing your own expertise in one of the fastest-growing areas of technology consulting. If you're passionate about cloud architecture … platforms that underpin AI-driven transformation. Your responsibilities will include: Designing and delivering secure, scalable and cost-effective cloud-native data platforms across AWS, Azure and GCP to support analytics, AI and operational workloads. Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks ...

frameworks. Contribute to the architecture and technical design of secure, scalable, and resilient data platforms. Build and optimise cloud-native data solutions across Azure, AWS, or GCP. Work closely with software engineers, architects, and product teams to deliver complex technical solutions. Design and implement data models and storage solutions … that support high-performance analytics and operational workloads. Optimise data platform performance, reliability, and scalability. Champion engineering best practices across code quality, automation, testing, security, and CI/CD. Troubleshoot complex technical issues and drive continuous improvements across data platforms. Stay current with emerging cloud technologies and contribute ...

into IT solutions and delivering on them. Strong hands-on expertise in Databricks, PySpark, Python and SQL is central to this role. Key Skills Azure Stack ELT Experience Data Modeling Data Integration & Ingestion Data Manipulation and Processing GitHub, GitHub Actions, Azure DevOps Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest AI based Code developed and AI-built automated data pieplines Key Characteristics Technology expert who constantly pursues knowledge enhancement and has an inherent curiosity to understand work from multiple dimensions. Deep data focus with expertise across relevant technology domains. ...

into IT solutions and delivering on them. Strong hands-on expertise in Databricks, PySpark, Python and SQL is central to this role. Key Skills: Azure Stack ELT Experience Data Modeling Data Integration & Ingestion Data Manipulation and Processing GitHub, GitHub Actions, Azure DevOps Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest Key Characteristics Technology expert who constantly pursues knowledge enhancement and has an inherent curiosity to understand work from multiple dimensions. Deep data focus with expertise across relevant technology domains. A skilled communicator capable of engaging both technical developers and business ...

Contribute to the consultancy's technical communities and quality forums. Requirements: Proven experience designing and delivering scalable cloud based data engineering solutions. Expertise with Azure (Data Factory, Synapse), or AWS (Redshift, Glue) and GCP (BigQuery, Dataflow). Advanced SQL skills, including optimisation and performance tuning. Strong experience with ...

company look to move away from traditional reporting and legacy data platforms towards a modern, cloud based data ecosystem built on Microsoft Fabric, Purview, Azure DevOps and Power BI. Key responsibilities include: Lead the migration from traditional reporting approaches to Microsoft Fabric, helping establish the foundations for self-service … analytics Take ownership of semantic modelling and reporting standards within Microsoft Fabric, ensuring the analytics platform is scalable, permanent and supports future growth Manage and mentor a team of Power BI specialists Deliver intuitive Power BI dashboards and data products that enable colleagues to make informed decisions using ...

programme and is building out its data engineering team. They're replatforming their data and reporting estate onto a modern Snowflake, dbt, Fivetran and Azure stack, retiring legacy SQL Server warehouses along the way. The pace is fast, the scope spans multiple international markets, and the work is highly … delivery team. What you'll be doing Building and maintaining ingestion pipelines (Fivetran) and transformations (dbt) on Snowflake. Developing and operating data integrations across Azure data services (Function Apps, Logic Apps, Service Bus, Data Factory). Supporting the controlled migration and decommissioning of legacy SQL Server warehouses – reconciliation, parallel ...

clients Strong commercial acumen able to spot high-value opportunities and articulate ROI Solid grounding in modern data platforms, governance, and AI tooling; Microsoft Azure Data & AI experience (Azure OpenAI, Synapse, Fabric) preferred Understanding of GenAI risk, bias, accuracy, and compliance considerations Confident operating in ambiguity able ...

Responsibilities Lead the technical architecture and design of D365 F&O solutions. Define integration, data, environment management, and extension strategies. Provide expertise across Azure, Power Platform, Dual Write, Fabric, Synapse, and emerging AI technologies. Conduct technical reviews, code assurance, and solution governance. Guide onshore and offshore development teams. … implementations. Advanced knowledge of X++, .NET, integrations, and application extensions. Experience with data architecture, environment management, and ERP implementation methodologies. Knowledge of Microsoft Fabric, Synapse, and Data Lake technologies. Excellent stakeholder management and communication skills. Experience leading technical teams and mentoring colleagues. Desirable Consulting or professional services background. Microsoft ...

event driven and API led approaches. Experience designing architectures across hybrid cloud and on‐premise/edge environments, using platforms such as AWS or Azure, with a strong understanding of distributed systems and event‐driven architectures (e.g. Apache Kafka, AWS Kinesis, messaging and streaming patterns). Experience designing architectures … leaders. Hands‐on experience with modern cloud native data platforms, such as: MODCloud – ICE, ACE environments AWS data services (e.g. S3, Redshift, EKS, Kinesis) Azure data services (e.g. Data Lake, Synapse, AKS) GCP Kubernetes‐based platforms and containerised data services Telicent Understanding of NATO data standards, interoperability requirements ...