51 to 72 of 72 Azure Synapse Analytics Jobs in London

value through data. This position collaborates with colleagues and stakeholders across the organisation to provide the tools and capability enabling Data Engineering, Reporting, Advanced Analytics, Machine Learning and Gen AI. The role requires a blend of technical expertise, business acumen, and collaboration to create platform features which promote … organisation. Key Accountabilities Design and Implement cloud-native data platforms capabilities that support federated use cases across data engineering, BI/reporting, advanced analytics, and AI/ML workloads. Deliver solutions which align to cloud platform engineering standards, patterns, and best practices to ensure consistency, reliability, and cost-efficiency. ...

business value through data.This position collaborates with colleagues and stakeholders across the organisation to provide the tools and capability enabling Data Engineering, Reporting, Advanced Analytics, Machine Learning and Gen AI.The role requires a blend of technical expertise, business acumen, and collaboration to create platform features which promote a data … follows:Technical Delivery• Design and Implement cloud-native data platforms capabilities that support federated use cases across data engineering, BI/reporting, advanced analytics, and AI/ML workloads.• Deliver solutions which align to cloud platform engineering standards, patterns, and best practices to ensure consistency, reliability, and cost-efficiency. ...

build scalable data platforms. Design and implement scalable data architectures to support AI-driven solutions. Develop data solutions across a raft of AWS and Azure data services. Design and implement data mesh and data fabric solutions to optimise data discover, accessibility and governance. Establish the required governance and control … boards to build them. Strong experience with AWS data services with exposure to AI systems (e.g., AWS DataZone, Bedrock, Redshift, Glue ) and/or Azure data services (e.g., Azure OpenSearch, Azure OpenAI, Fabric, Purview, Data Factory, Synapse ) Proficiency with Python for data processing and pipeline development. ...

secure.The ideal candidate will work in autonomous, cross functional teams entrusted with business-critical platforms.Desirable skills & experienceWorking to an Agile methodology and familiarity with Azure DevOpsDeep automation knowledge with PythonSkilled in Pyspark and SynapseExperience with data modelling and visualisation in Power BI (or alternative)A strong understanding of architecting … data platforms, BI, MI, or analytics solutionsStrong experience using Azure Data Lake, Azure Data FactoryDeliver the automation data pipelines and building of a scalable data architecture. ...

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, modern … 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, BigQuery ...

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 ...

Senior Data Engineer! Job Overview: The Senior Data Engineer is responsible for designing, developing, and maintaining scalable data platforms and pipelines that support analytics, reporting, and business transformation initiatives. The role requires expertise in data engineering, cloud technologies, data modeling, performance optimization, and collaboration with cross-functional teams … Hands-on experience with ETL/ELT development. Proficiency in Python, Scala, or Spark-based data processing. Experience with cloud platforms such as AWS, Azure, or GCP. Knowledge of Data Warehouse and Data Lake architectures. Experience with orchestration tools such as Airflow, ADF, or equivalent. Understanding of data governance ...

creative global business then we want to hear from you. The Opportunity: We’re looking for a Senior Data Engineer with deep expertise in Azure and Databricks to help build, optimise, and scale Clarion’s modern data platform. You’ll be central to delivering a robust, high-performing engineering … foundation that powers analytics, operational data flows, and future AI capabilities across our global events and digital products.This role is primarily focused on engineering excellence, developing high-quality pipelines, modelling data in line with our Medallion Architecture, and ensuring our Databricks platform is secure, governed, and production ready.Key Responsibilities ...

ContractLondon, WaterlooPosted 3 days agoCompetitive USD/Year Our latest opportunity is for a Senior Data Engineer with Azure experience to join a world-leading Energy Trading company as part of a Data Flow project for their Front Office.Key Characteristics:• Technology expert who constantly pursues knowledge enhancement … future projects to minimize cost, increase speed of implementation and maximize value delivery.• Contributes to community building initiatives like CoE, CoP.Mandatory skills:• AWS/Azure/SAP – Master• ELT – Master• Data Modeling – Master• Data Integration & Ingestion – Skill• Data Manipulation and Processing – Skill• GITHUB, Action, Azure DevOps – Skill• Data ...

latest opportunity is for a Senior Data Engineer with Azure experience to join a world-leading Energy Trading company as part of a Data Flow project for their Front Office. Key Characteristics Technology expert who constantly pursues knowledge enhancement and has inherent curiosity to understand work from multiple dimensions. … projects to minimize cost, increase speed of implementation and maximize value delivery. Contributes to community building initiatives like CoE, CoP. Mandatory skills AWS/Azure/SAP Master ELT Master Data Modeling Master Data Integration & Ingestion Skill Data Manipulation and Processing Skill GITHUB, Action, Azure DevOps Skill Data ...

coding assistants and agent tools (e.g., Claude, Copilot, Glean, Snowflake Cortex Code) with cloud data platforms. Experience implementing Databricks and Snowflake solutions on Azure, AWS, or Google Cloud. Advisory mindset and the ability to lead customers through ambiguous technical challenges: structuring discovery engagements, identifying technical and organizational gaps, evaluating … scoping and/or delivering large-scale data platform migrations. Preferred: Experience with additional cloud data platforms such as Google BigQuery, AWS Redshift, or Azure Synapse. CI/CD, DevOps, and Infrastructure as Code practices for data platforms. Metadata management, lineage tooling, and data observability/monitoring experience. Familiarity ...

office : Yes 10+ years overall data engineering experience Good in comms, and who can Tech lead project from onsite. Strong hands-on experience with Azure Data Factory (ADF) Lead end-to-end ADF setup and migration activities Experience migrating from legacy ETL tools toADF Strong knowledge of Azure services (ADLS, Azure SQL, Optional, Synapse) Define architecture, standards, best practices, and CI/CD Guide and mentor junior engineers ...

with achieving good outcomes for consumers; and to comply with the FCA and PRA's Conduct Rules.Key Responsibilities: The development of data ingest, transformation, analytics, and data publishing pipelines, facilitating complex data transformations to meet business requirements, ensuring optimal performance and efficiency of the data platform.Support for the live … Experience/Skills:Strong communicator with both technical and non-technical communities Experience of mentoring less-experienced developers Significant hands-on experience with the Azure Data Stack, critically ADF and Synapse (experience with Microsoft Fabric is a plus) Highly developed python and data pipeline development knowledge, must include ...

defend the trade-offs between competing modelling approaches. Expert SQL; strong Python for analysis and validation. Practical experience of the Microsoft data stack — Fabric, Synapse, Power BI semantic models, and ideally Azure AI Foundry. Demonstrable experience defining data quality frameworks and KPIs in an enterprise setting. Evidenced capability ...

decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics.The Solutions Architect (EDW Migrations) executes on Databricks’ strategic product lines to develop, establish and drive product adoption and product market … Platform Leads) and driving high-level database modernization strategy.Legacy Data Warehouse & Modernization Architecture understanding of legacy EDW systems (any of Teradata, Netezza, Snowflake, Synapse, Redshift, and Exadata) and architectures required to successfully transition workloads to the Databricks Data Intelligence Platform.Mastery of migration migrations scope & progression taking customers from ...

decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics. The Solutions Architect (EDW Migrations) executes on Databricks’ strategic product lines to develop, establish and drive product adoption and product market … Platform Leads) and driving high-level database modernization strategy. Legacy Data Warehouse & Modernization Architecture understanding of legacy EDW systems (any of Teradata, Netezza, Snowflake, Synapse, Redshift, and Exadata) and architectures required to successfully transition workloads to the Databricks Data Intelligence Platform. Mastery of migration migrations scope & progression taking customers ...

outcomes for our clients.Here’s what you’ll doWe are looking for an experienced Data & AI Platform Architect with expertise in cloud native data, analytics and AI platforms across the data value chain. You will help design scalable, secure and sustainable platforms for our clients, integrating batch and real … time processing, robust data management practices, and modern analytics and AI capabilities.You should bring practical experience of data & analytics platforms, alongside an understanding of how Machine Learning, Generative AI and Large Language Models can be applied within enterprise solutions. This role is suited to someone who is comfortable ...

requirements into robust data solutions. Establish best practices across data governance, metadata, lineage, data quality, and security. Provide architectural oversight for integration, reporting, and analytics workloads. Review and enhance database performance, scalability, resilience, and availability. Produce architecture documentation and contribute to design authority and governance forums. What … industry data standards. Exposure to cloud-based PostgreSQL platforms across AWS or Azure. Experience with SQL Server to PostgreSQL migration projects. Knowledge of modern analytics platforms such as Databricks, Snowflake, Synapse, Fabric, or Redshift. Familiarity with ETL/ELT tooling including dbt, Airflow, Informatica, Talend, SSIS, or similar ...

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 ...

take technical ownership of the evolution of a modern cloud-based data platform, helping define the architecture, standards and engineering patterns needed to support analytics, data products and an expanding AI strategy. While the existing environment is built predominantly on Google Cloud Platform , the client is open to candidates … from AWS, Azure or other modern cloud data environments . Strong GCP experience is highly desirable, but broader cloud architecture and engineering capability is more important. What you'll be doing Define and evolve the architecture of a modern cloud-based enterprise data platform Work hands-on alongside Data ...

offering by hiring a lead Data Architect who will specialise in MS Fabric projects/implementations. If you are adept across the Azure data stack (Data Factory, Synapse etc) and have been heavily involved in MS Fabric projects (from concept through to delivery) and looking to spearhead … growing function, then this could be a genuinely incredible opportunity. Experience required: * Strong expertise in MS Azure and related services * Experience with MS Fabric and MS Power Platform * Proven ability in data architecture and analytics design * Familiarity with data governance and security best practices * Involvement in pre sales ...

Operations, its platform, technologies and capabilities for Microsoft Dynamics 365 enabled transformation programmesBring a deep understanding of the wider Microsoft technology stack, including Azure, CE, dual write and Power Platform alongside emerging technologies such as AI and how these can be employed alongside D365 F&OBring extensive experience … assuranceExtensive experience in the design and implementation of integrations, data schemas and complex application extensionsUnderstanding of licensing modelsExperience in environment managementWorking knowledge of Fabric, Synapse and data lake technologiesRelevant experience with multiple full life-cycle implementations of MS D365 F&ODemonstrates knowledge and experience in ERP implementation methodology ...