76 to 100 of 122 Azure Synapse Analytics Jobs

automated tests Preferred Qualifications: Advanced Tools & Technologies: Strong understanding of Bronze/Silver/Gold data architecture in modern data platforms (e.g., Databricks, Snowflake, Azure Synapse) SQL Certification Experience with cloud data platforms (e.g., Snowflake) Familiarity with data visualization tools (e.g., Tableau, Power BI) Scripting experience in Python ...

automated tests Preferred Qualifications: Advanced Tools & Technologies: Strong understanding of Bronze/Silver/Gold data architecture in modern data platforms (e.g., Databricks, Snowflake, Azure Synapse) SQL Certification Experience with cloud data platforms (e.g., Snowflake) Familiarity with data visualization tools (e.g., Tableau, Power BI) Scripting experience in Python ...

Outstanding written and verbal communication skills, with a flair for compelling storytelling. Lead the end-to-end architectural design for the enterprise data and analytics platform across Azure. Design scalable data ingestion, transformation, and orchestration solutions using Azure Data Factory (ADF) and Databricks. Collaborate closely with … stakeholders, collect necessary information, comprehend client expectations, clarify details through workshops, and propose and discuss optimal solutions. The ability to conduct reporting, visualisation and analytics landscape assessments and rationalise portfolios for tools or platforms. You should be able to provide solutions for modernising, migrating, and integrating applications on cloud ...

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 ...

including Dynamics 365, into the enterprise data warehouse Leading data migration, cleansing, modelling, and transformation activities Supporting the evolution of data platform architecture using Azure technologies Ensuring strong data governance, quality, and documentation standards Collaborating with BI teams to enable high-quality reporting and analytics delivery YOUR SKILLS … EXPERIENCE: You will bring strong capability in: Microsoft SQL Server and data warehousing (Synapse/Fabric/Azure SQL) Azure Data Factory, Databricks, and modern ETL tooling Data modelling, data migration, and large-scale data transformation Building and maintaining cloud-based data platforms Working within Agile delivery ...

closes. You will drive a cloud-native transformation and oversee data integrity across on-prem and cloud platforms. The role targets expert ETL with Azure Data Factory, Databricks, Synapse Analytics, and other cloud technologies, coordinating with IT and finance stakeholders to deliver scalable data workflows and robust ...

through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through … ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations Track record of driving platform adoption and consumption growth within accounts Excellent communication skills — able ...

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 (Financial Services, Healthcare, Retail, Media, etc. ...

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 ...

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 ...

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. ...

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 ...

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. ...

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 ...

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 ...

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 ...

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 ...

ContractLondon, WaterlooPosted 1 week 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 ...