126 to 150 of 179 Azure Synapse Analytics Jobs in England

strategy through implementation and business transformation. As a Data Solutions Architect , you will lead the strategy, architecture and delivery of enterprise-scale data and analytics solutions for our clients. Working across data architecture, software engineering, cloud platforms, analytics engineering and client advisory, you will translate business priorities into … from proposal and estimation through to implementation, enablement and support. You will help clients modernise fragmented data environments and establish trusted data products, intuitive analytics experiences and reusable engineering capabilities that deliver measurable business value. This role also provides technical leadership across multiple projects and teams. You will mentor ...

Burns Sheehan Limited is helping a London business modernise its data platform, migrating from Azure Synapse to Microsoft Fabric, and seeks a mid‐level Data Engineer to join the team. You’ll work onsite in Camden, London (4 days per week) developing, validating and optimising data pipelines, governance ...

hybrid team modernising our data platform on Microsoft Fabric. You will design, build and support scalable data pipelines and semantic models that empower reporting, analytics and AI-enabled capabilities. Reporting to the Lead Data Engineer, you will migrate workloads from Azure Synapse to Fabric, implement governance, security ...

Release teams. The Data team at RDT works across the data estate from development environments through to customer deployments and data/analytics products. RDT places a strong focus on elements such as Continuous Integration/Delivery, build and deployment automation in the delivery of innovative, consistent and efficient … Responsibilities Deliver enhancements and new features across RDT’s data estate within a continuous delivery model, with a focus on the Microsoft/Azure data stack Push the data offerings forward via exploratory and proof-of-concept data work through to production Drive innovation and excellence via identification ...

Stay up-to-date with emerging trends and advancements in AI and machine learning. Profile Must haves: Software Engineering experience - ideally C# or Python Azure (Azure Fabric, Data Factory, ML Studio, Foundry, Synapse, Cosmos etc) Experience dealing with stakeholders, working with a wider tech team, collaboration ...

make better decisions and deliver better services. Our consultants tackle complex engineering challenges across integration, migration, modelling and platform design, working with Microsoft Fabric, Azure and modern data technologies. We value engineering craft, thoughtful problem-solving and building solutions that are simple, robust and built to last. … problems and care about building solutions that are robust, scalable and built to last. Experience in the following areas is important: Microsoft Fabric and Azure data services, including lakehouse, warehouse, notebooks and pipeline capabilities. Building enterprise-scale data platforms, lakehouses and data warehouses. Data modelling and dimensional modelling techniques ...

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. ...

solutions, with a focus on technical excellence, governance, andoperational performance in a high-volume data environment. This role involvesstrategic and technical leadership in building Azure-based data lake solutions,driving maturity in data management, and engaging with cross-functional teamsto leverage data for organizational success. Key Responsibilities Architect, design … implementscalable Azure-based data lake solutions. Establish roadmaps forcapability-building across technologies such as Qlik Replicate, DatabricksDelta Live Tables, and Unity Catalog. Provide technical leadership,ensuring adherence to best practices and quality standards. Lead the development of datatransformation pipelines using Databricks Delta Live Tables and StructuredStreaming. Optimize Databricks resources ...

services and investment intelligence platform. Own the end‐to‐end technical sales process for complex enterprise engagements involving Rimes’ managed data solutions & investment intelligence & analytics platform Act as a trusted technical advisor to CIOs, COOs, Heads of Investment Data & Technology, Risk, Performance and Operations Lead discovery with clients that … research Performance, risk, attribution, and regulatory reporting workflows Data platform delivery and integration, including data lakehouse architectures (Databricks, Delta Lake), cloud data warehouses (Snowflake, Azure Synapse) etc. Translate highly nuanced client challenges (e.g. private markets data, custodian transitions, operating model evolution, regulatory compliance, internal vs outsourced models) intoa ...

ambitious technologists who are passionate about working with the latest Microsoft Fabric technologies to deliver modern, highly scalable data platforms that underpin our clients’ analytics and AI ambitions. Our clients look to us for innovation — which means you’ll often work with new and emerging capabilities, giving … latest technologies and stay ahead of the curve. Together we do what matters! What you’ll do Design, develop, and deliver enterprise grade analytics solutions using Microsoft Fabric Evangelise and evolve best practices for both clients and colleagues, mentoring team members and supporting their personal development Continuously develop your ...

build a career where you can truly do what matters. Come join us What you’ll do Design, develop, and deliver enterprise grade analytics solutions using Microsoft Fabric Evangelise and evolve best practices for both clients and colleagues, mentoring team members and supporting their personal development Continuously develop your … background in data engineering Demonstrable end‐to‐end experience delivering data engineering solutions, including large‐scale projects Experience working with modern Microsoft Fabric and Azure technologies, such as Synapse, Data Factory, Azure Data Lake Storage (Gen2), Purview, Cosmos DB, OpenAI, Azure ML, and AI Foundry Solid ...

Programming experience in Python (or Scala or Java). Experience building ETL/ELT pipelines. Experience with cloud data platforms such as AWS or Azure (for example, S3, Glue, Redshift, Azure Data Factory or Synapse). Understanding of data modelling and data warehousing concepts. Experience with version ...

Senior Data Engineer – Remote (Senior Data Engineer, Data Engineer, SQL, T-SQL, SQL Server, Azure SQL, Python, PySpark, Microsoft Fabric, Databricks, Synapse, Delta/Parquet, Power BI, Agentic AI, Infrastructure as code, IaC, CI/CD, data warehousing, data lakehouse, data architecture, Agile, Senior Data Engineer, Data Engineer … those agents rely on. We are seeking an experienced Data Engineer with a deep knowledge of SQL and T-SQL on SQL Server/Azure SQL, data modelling experience and strong Python (PySpark, notebooks). Exposure to Microsoft Fabric is required, or at least Databricks/Synapse ...

Senior Data Engineer – Remote (Senior Data Engineer, Data Engineer, SQL, T-SQL, SQL Server, Azure SQL, Python, PySpark, Microsoft Fabric, Databricks, Synapse, Delta/Parquet, Power BI, Agentic AI, Infrastructure as code, IaC, CI/CD, data warehousing, data lakehouse, data architecture, Agile, Senior Data Engineer, Data Engineer … those agents rely on. We are seeking an experienced Data Engineer with a deep knowledge of SQL and T-SQL on SQL Server/Azure SQL, data modelling experience and strong Python (PySpark, notebooks). Exposure to Microsoft Fabric is required, or at least Databricks/Synapse ...

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 ...

Consult is seeking a Senior Data Engineer for a fully remote, 2-month contract to migrate an Azure Synapse Dedicated SQL Pool codebase to Databricks, delivering parity or improved performance and ensuring data accuracy. You will refactor ~72 T-SQL procedures, optimise Spark/PySpark queries and validate … datasets for downstream consumption, addressing architecture differences between Synapse and Databricks. #J-18808-Ljbffr ...

STARK Group is transforming its data platform and engineering capability to support analytics, self-service reporting, AI and data-driven decision making. We are hiring a hands-on Data Engineer to join our Data Engineering team and help build, improve and support trusted data products that underpin decision making … across STARK UK. You will migrate from Informatica and Azure Synapse toward a Databricks-centric platform, delivering Bronze-to-Platinum data layers and curated datasets for reporting #J-18808-Ljbffr ...

line management to data engineers on your team. Key Responsibilities Discipline Expertise and Leadership Technology breadth : Deep, production‐grade experience across AWS & or Azure native services, with expert-level Databricks and/or Snowflake and an Agile delivery mindset. On AWS, you’re fluent across the core services … DataBrew, Kinesis, dbt Data management & metadata: Lake Formation, Glue Data Catalog, SageMaker Catalog/DataZone AI: Bedrock (including AgentCore) and SageMaker AI On Azure, you’re fluent across the core services, for example: Storage & lakehouse: SQL, PostgreSQL, Cosmos, Blob, Data Lake, OneLake, Fabric Warehouse Processing & ETL: Fabric Data Factory ...

About Us At Oakland, we help businesses unlock the power of their data. Whetherit'sdata strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands-on experts who love solving problems and making … needs. Your work will span a diverse range of clients and problem spaces. At Oakland, weoperateacross Data Platforms, Data Management, Data Strategy, AI, and Analytics and Insight, so a strong understanding of these areas and how they come together in a cohesive architecture is important. You will design ...

About Us At Oakland, we help businesses unlock the power of their data. Whetherit'sdata strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands-on experts who love solving problems and making … needs. Your work will span a diverse range of clients and problem spaces. At Oakland, weoperateacross Data Platforms, Data Management, Data Strategy, AI, and Analytics and Insight, so a strong understanding of these areas and how they come together in a cohesive architecture is important. You will design ...

design, build, and maintain scalable data pipelines and infrastructure. You will be responsible for transforming raw data into reliable, high-quality datasets that fuel analytics, reporting, and machine learning initiatives. The ideal candidate is passionate about data quality, automation, and solving complex data challenges in a collaborative environment. … cleansing, and monitoring processes to ensure accuracy, consistency, and reliability of data assets. Infrastructure & Optimization: Manage and optimize cloud data infrastructure (e.g., GCP, AWS, Azure) and on-premise systems for performance, cost-efficiency, and scalability. Collaboration: Partner closely with Data Analysts, Data Scientists, and business stakeholders to understand data ...

Centers of Excellence (CoE) and Communities of Practice (CoP)Requirements8+ years of professional experience in data engineering or related rolesMaster-level expertise in AWS, Azure, or SAP data ecosystemsStrong proficiency in ELT, data modeling, and data integrationSkilled in data manipulation, processing, and orchestration frameworksHands-on experience with Data Factory … Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, and PyTestProficiency with GitHub, GitHub Actions, and Azure DevOpsStrong communication and collaboration skills to align technical and business stakeholdersProven ability to lead solution delivery and enhance team performanceStrong analytical decision-making and governance capabilitiesBachelor’s degree ...

Contract: ContractLocation: London, Greater London, South East, EnglandPay: Competitive · Ref J23426Consultant: Joe MooreOur 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 … implementation efficiency and effectiveness across the pilots and future projects to minimize cost, increase speed of implementation and maximize value delivery.Mandatory skills:• AWS/Azure/SAP • ELT • Data Modeling • Data Integration & Ingestion – Skill• Data Manipulation and Processing – Skill• GITHUB, Action, Azure DevOps – Skill• Data factory, Databricks ...

delivery and governance of enterprise-scale data platforms. You will work across architecture, engineering, and delivery, coordinating teams to implement Microsoft BI solutions using Azure Data Factory, Synapse and Power BI. The role combines hands-on technical work with leadership, stakeholder engagement and strategic planning to maximise data ...

delivery and governance of enterprise-scale data platforms. You will work across architecture, engineering, and delivery, coordinating teams to implement Microsoft BI solutions using Azure Data Factory, Synapse and Power BI. The role combines hands-on technical work with leadership, stakeholder engagement and strategic planning to maximise data ...