151 to 175 of 227 Azure Synapse Analytics Jobs

Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysisExperience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerationsTrack record of driving platform adoption and consumption growth within accountsExcellent communication skills — able to translate complex … quantitative discipline (or equivalent experience)Nice to Have:Databricks certifications (Data Engineer, ML, Platform)Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position againstBackground in a data/AI company or cloud providerIndustry domain expertise (Media, Entertainment and Agencies)Interview Process ...

syndicate, managing agent, London Market broker or specialty (re)insurer. You will help the team through its shift from platform delivery toward value-added analytics and commercial insight. They will support the Data Analytics Manager by applying and role-modelling technical standards, contributing to complex analysis, and introducing … techniques including the practical application of AI tools within the analytics workflow. Key Responsibilities Acting as the senior analytics business partner to one or more underwriting classes, proactively identifying where analytics can improve pricing, portfolio steering, renewal decisions and exposure management. Translating open-ended commercial questions into ...

client is an innovative, fast-growing technology company operating across data, cloud, and machine learning. It builds scalable, data-driven platforms that support advanced analytics and AI-powered applications across fintech, healthcare, and digital services. Задачи Design and build SQL databases from scratch for scalability, reliability, and performance Optimise … maintain existing database systems to improve query performance and efficiency Architect, implement, and manage cloud-based databases and data solutions in Azure Develop and maintain data pipelines for analytics and machine learning workloads Collaborate with data scientists to prepare and structure data for ML modelling Contribute to Python ...

role combining people management, platform implementation and strong technical contribution, giving you the chance to shape governed, scalable data foundations that support business intelligence, analytics engineering, data science and AI across the business. What you'll be doing: Leading a cross functional team spanning Data Engineering and Analytics … governance, catalogue and master data teams to ensure platform outputs are trusted and usable What we're looking for: Proven experience leading Data Engineering, Analytics Engineering or modern data platform teams Experience implementing and managing data warehouse, lakehouse or medallion architecture patterns Expert knowledge of data ingestion, transformation, orchestration ...

Huxley in the United Kingdom is seeking a Senior Data Engineer with strong Microsoft Azure data capabilities to lead modernization of core data platforms. The role focuses on building reliable, scalable data pipelines and enabling AI-driven insights, with a hybrid schedule in London or Glasgow. You will … ingestion and staging layers in Azure Synapse/SQL, implement medallion architecture, DBT, and CI/CD, and collaborate with BI teams to ensure data models support executive dashboards and #J-18808-Ljbffr ...

your career.The opportunityThe AI & Data practice works collaboratively with our clients to enhance their ability to solve complex business problems by exploiting data and analytics strategies and solutions.Your key responsibilitiesWork as part of a delivery team on complex Data Transformation programs, primarily focusing on data modelling, with additional roles … automation to increase model reuse, version control, and deployment efficiency.Lead the design, development, and optimization of conceptual, logical, and physical data models to support analytics, reporting, machine learning, and transactional use cases.Collaborate with data engineering and architecture teams to ensure models are performance-optimized and aligned with storage, compute ...

Senior Data 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. They ...

opportunity The AI & Data practice works collaboratively with our clients to enhance their ability to solve complex business problems by exploiting data and analytics strategies and solutions. Your key responsibilities Work as part of a delivery team on complex Data Transformation programs, primarily focusing on data modelling, with additional … increase model reuse, version control, and deployment efficiency. Lead the design, development, and optimization of conceptual, logical, and physical data models to support analytics, reporting, machine learning, and transactional use cases. Collaborate with data engineering and architecture teams to ensure models are performance-optimized and aligned with storage, compute ...

quality and implementation complexity.Experience defining MDM operating models, including governance structures, stewardship roles, decision rights, escalation routes, data standards and ongoing service management.Strong Microsoft Azure data platform knowledge, ideally including Azure Data Lake, Microsoft Fabric, Azure SQL, Synapse, Databricks, integration services, Power BI and common enterprise … information governance, data protection, access control and auditability.Requirements5+ years’ experience designing, implementing and optimising Master Data Management solutions.Strong experience delivering MDM solutions in Microsoft Azure environments.Practical experience with Microsoft Purview, including data catalogue, lineage, classification, data governance and information protection capabilities.Eligibility for UK security clearance.Microsoft SC-400 certification ...

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. ...

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. ...

changer.Job DescriptionThis is a hybrid role. As a Data Engineer, you will be responsible for designing and building scalable, resilient data solutions that power analytics, marketing effectiveness measurement, and decision-making across Entain's industry-leading digital brands. You'll work at the heart of our data ecosystem, creating … that enable teams to generate insights, optimise performance, and drive commercial growth.Reporting to the Data Engineering Manager, you will be part of the Group Analytics Data Engineering Team, who build and maintain the data products and infrastructure that support analytics, econometric modelling, marketing optimisation, and regulatory reporting across ...

built on the platform, not just presented it) with at least one relevant certification Working knowledge of at least one major cloud (AWS, Azure, or GCP) and how Databricks deploys and integrates within it Demonstrated ability to run technical discovery, scope solutions, build POCs, and present credibly from practitioner … seven-figure deals as the technical lead Genuine depth in one or more of: data engineering & Lakehouse architecture, data warehouse migration (Snowflake, Synapse, or Teradata displacement), ML/AI & GenAI on Databricks (Mosaic AI, vector search, agents), or Unity Catalog & data governance Nice-to-Haves Existing relationships within ...

Power BI-based analytics. You will collaborate with stakeholders to translate business questions into scalable BI solutions, shaping data pipelines and semantic models within Azure Synapse, Data Lake, and Fabric. You will lead reporting delivery, ensure data quality, and promote best practices for governance and end-user experience ...

Cloud Engineering & ETL/ELT Pipeline Development Build, maintain, and improve ELT/ETL pipelines that ingest billing, usage, and tagging data from AWS, Azure, and GCP into CBRE's centralized FinOps data store, applying modern pipeline patterns including event-driven ingestion, incremental loading, and change data capture. Design … services in a cloud environment. Experience working with cloud billing data, FinOps tooling, or cloud cost management across at least one major cloud provider (Azure, AWS, or GCP). Technical Skills Data engineering: strong proficiency with Apache Spark, dbt, Airflow/Azure Data Factory or equivalent orchestration, Data ...

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. ...

architecture across Commerce, Manufacturing and Supply Chain. You will design conceptual and logical data models, establish information blueprints, and shape data product interfaces for analytics and AI innovations. In this flexible hybrid role based in London, you’ll guide teams through data governance, master data management, and scalable patterns … across Azure Synapse and Databricks, balancing business needs with technical #J-18808-Ljbffr ...

Tata Consultancy Services in the United Kingdom is seeking a Data Engineer to design, develop and maintain Azure-based data pipelines, leveraging Azure Data Factory, Databricks, Synapse and Data Lake to support data integration, migration and analytics. You will collaborate with stakeholders to translate business needs into ...

required per week. This is a fantastic opportunity to work with a high performing team on a project supporting a major data and analytics initiative within a globally renowned Trading business in London. The Senior Data Engineer is someone who designs and builds data foundations … mentor junior engineers. We’re looking for someone who can offer the following skills & experience. Strong experience in Python, PySpark/Spark, Databricks, Azure Data Factory, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest. Experience designing, building and supporting scalable data pipelines and data ...

This is a hands-on build role, not a strategy-and-oversight one. Our client is investing in a modern data platform on Microsoft Azure Fabric, and they need someone who wants to still be in the tooling: designing, building and writing pipelines personally, not just directing others. … take ownership of the data function end to end: ingestion, lakehouse/warehouse, through to analytics and AI-ready data, using the full Fabric toolset (Data Factory, OneLake, Lakehouse/Warehouse, Notebooks, Power BI Direct Lake). You'll report directly to the CIO and inherit an existing data ...

hybrid working mode. In this role, you will lead the design, development and optimization of scalable cloud-native data architectures, focusing on Azure Databricks, PySpark and Lakehouse principles. You will work hands-on to deliver performant data solutions for high-volume workloads, ensuring governance, reliability and best practices … innovation throughout the team. This position offers the opportunity to shape large-scale data ecosystems, implement modern engineering practices and enable next-generation analytics and AI-driven solutions. Responsibilities Lead the architecture, design and build of large-scale data platforms using Azure Databricks and modern cloud technologies Implement ...

facilitating the transfer of knowledge, data assets, algorithms, prototypes and best practices into the business. Identify and explore opportunities to apply data science and analytics to improve business performance, customer outcomes and operational efficiency. Stay up to date with emerging research, technological advancements, industry standards and regulatory requirements relevant … preferred; SQL – exposure), tools and technologies (Pytorch or Tensorflow – essential; Opencv, Scipy, Pandas, or equivalent libraries for image processing and data science - essential; MS Azure Synapse – exposure) used in the development of machine learning, image analysis and software solutions. Demonstrated expertise in machine learning, artificial intelligence and data ...

identify bad data instead of quietly publishing it. You'll take ownership of the full reporting stack, from data acquisition and modelling through to Azure platform development, semantic models and reporting outputs. You'll also work directly with planners, quantity surveyors and project managers to understand requirements and translate … priority is strong technical depth, experience building data platforms from scratch, and exposure to large, complex environments where reporting accuracy matters. The Role: Build Azure-based data platforms from the ground up Develop scalable data models and reporting architectures Create trusted reporting solutions with validation, lineage and reconciliation built ...

identify bad data instead of quietly publishing it. You'll take ownership of the full reporting stack, from data acquisition and modelling through to Azure platform development, semantic models and reporting outputs. You'll also work directly with planners, quantity surveyors and project managers to understand requirements and translate … priority is strong technical depth, experience building data platforms from scratch, and exposure to large, complex environments where reporting accuracy matters. The Role: *Build Azure-based data platforms from the ground up *Develop scalable data models and reporting architectures *Create trusted reporting solutions with validation, lineage and reconciliation built ...

cloud or on-premises, involving either of the following;Distributed event streaming platforms, such as Apache Kafka or similar products,Data processing and analytics platforms, such as Apache Spark, Apache Beam, or their derivatives,Data warehouses in the cloud, such as AWS Redshift, GCP BigQuery, and Azure Synapse ...