226 to 250 of 758 Permanent Azure Synapse Analytics Jobs

a Speciality Insurer a skilled and motivated Lead Data Engineer with Insurance experience to play a key role in the creation of a brand-new data platform within the Azure ecosystem and Databricks . This is an exciting opportunity to be at the forefront of data innovation, working within a newly formed Data & Analytics team in a long … the evolution of the data platform, ensuring adaptability for new data sources, analytical models, and emerging technologies. What You’ll Bring ✅ Extensive hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling expertise for analytics use cases. ✅ Strong ETL/ELT … in an agile, innovative environment. Career Growth – Play a pivotal role in driving data excellence within a forward-thinking business. Cutting-Edge Tech – Work with the latest advancements in Azure, Databricks, and Data Engineering . This is a fantastic opportunity for a Lead Data Engineer looking to make a tangible impact. If you’re ready to take on a More ❯

a Speciality Insurer a skilled and motivated Lead Data Engineer with Insurance experience to play a key role in the creation of a brand-new data platform within the Azure ecosystem and Databricks . This is an exciting opportunity to be at the forefront of data innovation, working within a newly formed Data & Analytics team in a long … the evolution of the data platform, ensuring adaptability for new data sources, analytical models, and emerging technologies. What You’ll Bring ✅ Extensive hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling expertise for analytics use cases. ✅ Strong ETL/ELT … in an agile, innovative environment. Career Growth – Play a pivotal role in driving data excellence within a forward-thinking business. Cutting-Edge Tech – Work with the latest advancements in Azure, Databricks, and Data Engineering . This is a fantastic opportunity for a Lead Data Engineer looking to make a tangible impact. If you’re ready to take on a More ❯

your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from KDR Talent Solutions Bespoke talent solutions in the Data, Analytics and Technology domains at KDR Talent Solutions Lead Data Engineer | Location: London (Hybrid - 1-2 day a month in office) | Salary: £90,000-£110,000 The Opportunity Are you … business growth? Our client is seeking a skilled and motivated Lead Data Engineer to play a key role in the creation of a brand-new data platform within the Azure ecosystem and Databricks . This is an exciting opportunity to be at the forefront of data innovation, working within a newly formed Data & Analytics team in a long … the evolution of the data platform, ensuring adaptability for new data sources, analytical models, and emerging technologies. What You’ll Bring Extensive hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). Dimensional modelling expertise for analytics use cases. Python scripting experience for More ❯

will engage early in the sales process, leading discovery efforts, structuring innovative architectures, and driving strategic conversations that align business outcomes with technical vision. Working across cloud ecosystems-Microsoft Azure, AWS, and Google Cloud Platform-you will be responsible for creating compelling, scalable, and intelligent data and AI solutions that accelerate digital transformation. While extensive expertise across multiple platforms … Engage with stakeholders to uncover business challenges, technical needs, and strategic goals, translating them into actionable solution strategies. Architecture Design Design cloud-native data platforms, AI applications, and advanced analytics ecosystems, balancing innovation, security, scalability, and cost efficiency. Business Value Communication Present and articulate how proposed solutions will deliver tangible business benefits, from operational optimization to data-driven decision … SOWs), technical proposals, and business case presentations tailored to client priorities. Demonstrations & Prototyping Lead workshops, demonstrations, and proofs of concept showcasing the real-world impact of technologies such as Azure OpenAI, Databricks, SageMaker, and Vertex AI. Thought Leadership Actively promote best practices and emerging trends in data modernization, predictive analytics, AI, and cloud-native architectures. Skills and Expertise More ❯

ll lead the design and deployment of predictive models, benchmarking tools, and data pipelines that directly improve outcomes in social care. You’ll work at the intersection of advanced analytics and compassionate innovation, shaping the future of care intelligence across the UK and beyond. What You’ll Do: Design and implement benchmarking methodologies using data from hundreds of care … homes across clinical and operational metrics Build scalable data science workflows using Azure Data Factory, Synapse Analytics, Databricks, and other Microsoft Azure services Lead end-to-end development of predictive models (e.g., fall prediction, infection prevention) using Azure Machine Learning Collaborate with developers and product managers to embed ML outputs into dashboards and APIs via … Power BI and Azure tools Ensure transparency and compliance of models in alignment with healthcare data privacy standards (e.g., GDPR, NHS DSP Toolkit) Conduct data exploration, hypothesis testing, and advanced statistical analyses to inform product and business decisions Implement monitoring and retraining strategies for deployed models to ensure fairness and ongoing performance Mentor junior team members and foster a More ❯

for reporting and analysis. Key Responsibilities: • Lead and manage a team of data engineers. • Design, build, and maintain data infrastructure and systems. • Ensure effective use of Microsoft Fabric and Synapse analytics platform. • Collaborate with various stakeholders, including Data and Systems owners, Data Analysts, Data Architects, Infrastructure Architects, and external suppliers. Experience required • Dynamic and hands-on leader who … Extensive experience in developing and maintaining data pipelines for ELT/ETL from various data sources, including databases, APIs, text files, and Parquet. • Expert knowledge of the Microsoft Fabric Analytics Platform (Azure SQL, Synapse, PowerBI). • Proficient in Python for data engineering tasks, including data ingestion from APIs, creation and management of Parquet files, and execution of More ❯

technical capabilities have been clearly demonstrated. Coupled with at least 4 years of design and development. experience with various relevant Microsoft platforms, tools, technologies, patterns, and techniques related to Azure tools, integration, and data is required. Experience with industry/domains like pharmaceutical, finance, HR, sales, marketing, and manufacturing is highly preferred. Experience with healthcare industry regulations, data security … and compliance standards (e.g. GDPR), and EDI standards (e.g. FHIR, HL7), etc. is very valuable. Developer certifications of Azure and/or Microsoft suite technologies is a big plus. Technical skills: In-depth knowledge and thorough experience in programming, configuring, and/or integrating using/with Azure integration tools like Data factory, LogicApps, Functions, API Management, Data … catalog, WebApps, Integration service environment, configuring monitoring & diagnostics, etc., and connectivity & security configurations (certificates, encryptions, etc.). In-depth knowledge and experience with Azure data storage (SQL Server, Data lake, Synapse, etc.) & access tools, APIs, cloud connectivity, and ETL processes. Knowledge and some experience of MS Office/MS Office 365 suite, SharePoint Online, Power Apps, GitHub, MS More ❯

technical capabilities have been clearly demonstrated. A minimum of four (4) years of design and development experience with various relevant Microsoft platforms, tools, technologies, patterns, and techniques related to Azure tools, integration, and data is required. Experience with industry/domains like pharmaceutical, finance, HR, sales, marketing, and manufacturing is highly preferred. Experience with healthcare industry regulations, data security … and compliance standards (e.g. GDPR), and EDI standards (e.g. FHIR, HL7), etc. is very valuable. Developer certifications of Azure and/or Microsoft suite technologies is a big plus. Program, configure, and production support functionalities like APIs, Systems & Data integrations, MSFT suite integration, Device integration programming, ETL processes, deployment scripts, etc. Diagnose and resolve reported defects/incidents in … of constant learning. Other relevant tasks as assigned by the manager. Technical skills: In-depth knowledge and thorough experience in programming, configuring, and/or integrating using/with Azure integration tools like Data factory, LogicApps, Functions, API Management, Data catalog, WebApps, Integration service environment, configuring monitoring & diagnostics, etc., and connectivity & security configurations (certificates, encryptions, etc.). In-depth More ❯

Architect role at ANS Group Get AI-powered advice on this job and more exclusive features. Are you passionate about designing and architecting cutting-edge data technology solutions in Azure? Do you thrive in driving excellence and innovation? Join our team as a Data Solution Architect and lead our Centre of Excellence service to new heights! What You'll … in data cataloguing, modelling, warehousing, and analytics. Security & Governance: Proven understanding of security and governance principles. Tools: Proficiency in PowerPoint, Tableau, and Power BI. Cloud Services: Strong understanding of Azure or AWS, Infrastructure as Code (IaC), and cloud services (IaaS, SaaS, PaaS). Frameworks: Understanding of Well Architected frameworks, security principles, and Agile/Waterfall project lifecycle. Database Knowledge … Proficiency in SQL and NoSQL databases. Design & Implementation: Experience with three or more of the following: Azure Synapse, Azure SQL DB, Cosmos DB, Mongo DB, Redshift, S3, Stream Analytics, Kinesis, Azure Data Factory, IoT Hub, Azure ML Studio, SageMaker Modelling, Azure Data Lake Gen2, HD Insight. Desirable Skills Experience in Fabric and Synapse More ❯

and Hardware Engineers to PMs, Support, Operations staff, Managers and more. What You’ll Be Doing: Design and develop Data Solutions, Pipelines and ETL Processes using tools such as Azure Data Factory/Azure Data Lake/Azure SQL/SSIS and other relevant offerings Build and tailor Data Models and Data Warehouses Work with other Data …/improvements into the Data team What You’ll Bring: A background as a Data Engineer with skills across as many of the following Microsoft tooling as possible including Azure Data Factory, Azure Data Lake, Azure SQL, Azure Synapse Analytics, SQL Server/SSIS/T-SQL Strong skills across Data Modelling, Warehousing and More ❯

and technical capabilities have been clearly demonstrated. Your expertise must include design and development experience with various relevant Microsoft platforms, tools, technologies, patterns, and techniques related to MSFT suites, Azure tools, integration, and data is required. Experience with industry/domains like pharmaceutical, finance, HR, sales, marketing, and manufacturing is highly preferred. Experience with healthcare industry regulations, data security … and compliance standards (e.g. GDPR), and EDI standards (e.g. FHIR, HL7), etc. is very valuable. Developer certifications of Azure and/or Microsoft suite technologies is a big plus. A degree in computer science, software engineering, or a related field is required. Technical skills: In-depth knowledge and experience in programming, administrating, configuring, and integrating using/with MS … Office/MS Office 365 suite, SharePoint Online, Power Apps/Power Automate, GitHub, MS Teams, etc. In-depth knowledge & development experience using Azure integration tools like Data factory, Logic Apps, etc. Along with knowledge of utilizing Azure SQL Server, Data lake, etc. In-depth knowledge & experience using Visual Studio, with one of the programming languages: C#/ More ❯

you will be instrumental in leveraging data to drive actionable insights for their clients. Key Responsibilities: Analyse, cleanse, and model complex product/item data sets for reporting and analytics Work with Informatica P360 (Product 360) to manage and optimise product data pipelines Develop data workflows and perform advanced analysis using Databricks and Azure Data Services Collaborate with … as a Data Analyst within consultancy or large-scale IT project environments Strong hands-on experience with Informatica/P360 for MDM or product-related data initiatives Proficient in Azure Stack (Azure Data Factory, Azure SQL, Synapse, etc.) Solid experience with Databricks for big data processing and analysis Excellent SQL skills and ability to manipulate, interpret More ❯

conversation with HSO's customers and define the vision for better use of data across their organisation. You will own the technical design and manage the delivery of data & analytics solutions to HSO's customers. You will be highly experienced in Microsoft Azure, and have a working knowledge of other technology platforms. You will also be able to … and standardisation across the team Present architecture solutions at HSO architecture review boards Lead project delivery teams to help ensure successful delivery Provide technical leadership to HSO's Data & Analytics team Requirements: Experience of working as a data-focused architect in Azure Proven experience in following architecture processes for design and governance Experience in using Azure cloud … applications build processes at all stages of the software development lifecycle A comprehensive understanding of data warehousing, extract, transform and load Experience in data modelling Exposure and experience of Azure data and analytics products and services (SQL and NOSQL databases, data lake, data factory, synapse, data bricks, PowerBI, Fabric, MDM, Purview, Profisee.) Experience of working at a More ❯

This role is being offered on a 12 month fixed term contract basis, and is an office based role. What are we looking for? Proficiency in Power BI, SQL, Azure Data Factory, Azure Synapse Analytics, Azure Data Lakes, and big data technologies like Microsoft Fabric. Certification in Azure (e.g., Microsoft Certified: Azure Data More ❯

This role is being offered on a 12 month fixed term contract basis, and is an office based role. What are we looking for? Proficiency in Power BI, SQL, Azure Data Factory, Azure Synapse Analytics, Azure Data Lakes, and big data technologies like Microsoft Fabric. Certification in Azure (e.g., Microsoft Certified: Azure Data More ❯

scalable, secure, and high-performance data solutions. You’ll play a key role in architecting modern data platforms using Snowflake , SQL , Python , and leading cloud technologies to support advanced analytics, reporting, and machine learning initiatives across the business. Key Responsibilities: Design and maintain end-to-end data architectures, data models, and pipelines in Snowflake and cloud platforms (AWS, Azure … for complex querying, optimization, and stored procedures. Strong coding skills in Python for data transformation, scripting, and automation. Experience with cloud platforms such as AWS (e.g., S3, Redshift, Lambda) , Azure (e.g., Data Factory, Synapse) , or GCP (e.g., BigQuery, Cloud Functions) . Familiarity with data orchestration tools (e.g., Airflow, dbt) and version control (Git). Solid understanding of data More ❯

scalable, secure, and high-performance data solutions. You’ll play a key role in architecting modern data platforms using Snowflake , SQL , Python , and leading cloud technologies to support advanced analytics, reporting, and machine learning initiatives across the business. Key Responsibilities: Design and maintain end-to-end data architectures, data models, and pipelines in Snowflake and cloud platforms (AWS, Azure … for complex querying, optimization, and stored procedures. Strong coding skills in Python for data transformation, scripting, and automation. Experience with cloud platforms such as AWS (e.g., S3, Redshift, Lambda) , Azure (e.g., Data Factory, Synapse) , or GCP (e.g., BigQuery, Cloud Functions) . Familiarity with data orchestration tools (e.g., Airflow, dbt) and version control (Git). Solid understanding of data More ❯

Metyis is growing! We are looking for a Data Engineering Associate with 3-4 years of experience to join our Data and Analytics team in London. Who we are Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. Our long … lakes, data vault, 3NF). Advanced SQL skills, including data transformation and profiling. Experience building scalable production ETL/ELT pipelines. 1-2 years of hands-on experience with Azure services such as Data Factory, Databricks, Synapse (DWH), Azure Functions, and other data analytics tools, including streaming. Experience with Airflow and Kubernetes. Programming skills in Python More ❯

Metyis is growing! We are looking for a Data Engineering Associate with 3-4 years of experience to join our Data and Analytics team in London. Who we are Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis … vault, 3NF). Advanced SQL, data transformation and data profiling skills. Experience of building production ETL/ELT pipelines at scale. 1-2 years of hands on experience with Azure: Data factory, Databricks, Synapse (DWH), Azure Functions, App logic and other data analytics services, including streaming. Experience with Airflow and Kubernetes. Programming languages: Python (PySpark), scripting More ❯

migration. Implement POC with limited developer support. Provide expert advice to product teams on best way to use existing services and utilities from the repository. Design and lead the Azure DevOps implementation for data platform. Define logical and physical data models. Lead: Lead the development team in best practice DevOps processes. Engage in and improve the whole lifecycle of … teams/architecture team and a wider community internally and externally. Operational Reliability: Act as the technical point of contact on the platform for the cloud service providers (e.g. Azure) to ensure the Platform is operational and is able to meet the service levels of the products using the platform. Support services before they go live through activities such … monitoring requirements for the platform. Identify and execute pro-active actions to ensure continued stability and performance of the platform. Our ideal candidate: Strong experience in Designing and delivering Azure based data platform solutions, technologies including: Azure Data Bricks, Azure Synapse Analytics. Azure MS SQL Managed Service/Azure PostgreSQL. Azure ADF and More ❯

business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance of machine learning solutions using tools such as Azure Azure ML, and Azure Application Insights. Operationalise and deploy AI solutions, ensuring that coding, security and CI/CD best practices are followed. Communicate and present findings and recommendations to stakeholders and customers using tools such as … Power BI, Azure Data Explorer, and Azure AI Services. Qualifications Key Competencies Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, SQL, or other programming languages for data analysis and machine learning. Experience with cloud platforms and services, preferably Azure, for data science and machine learning Experience with one or more generative More ❯

to explain technical concepts to non-technical stakeholders Preferred Requirement 2-3 years' professional experience in data analysis, business intelligence, or a related field Experience with Microsoft Fabric or Azure Synapse Analytics Strong experience with Microsoft Power Platform (PowerBI (Strong DAX Skills) - Power Automate) Knowledge of accounting or financial services data structures Experience with API development and More ❯

to explain technical concepts to non-technical stakeholders Preferred Requirement 2-3 years' professional experience in data analysis, business intelligence, or a related field Experience with Microsoft Fabric or Azure Synapse Analytics Strong experience with Microsoft Power Platform (PowerBI (Strong DAX Skills) - Power Automate) Knowledge of accounting or financial services data structures Experience with API development and More ❯

software testing in data-intensive environments . Strong knowledge of testing data pipelines, ETL/ELT workflows, and big data solutions . Experience with cloud-based data platforms , particularly Azure Databricks, Azure Data Factory, and Synapse Analytics . Hands-on experience with test automation frameworks (e.g., PyTest, Great Expectations, DBT tests, or similar). Proficiency in … SQL and scripting languages (e.g., Python, Scala) for test automation. Experience in CI/CD and DevOps practices , including integration of tests into pipelines (Azure DevOps, GitHub Actions, or Jenkins) . Strong understanding of data governance, data security, and compliance best practices . Ability to work cross-functionally and communicate effectively with engineers, analysts, and business stakeholders. Experience with More ❯

while proactively enhancing data throughput, scalability, and resource efficiency. Platform & Tool Expertise: Provide expert support for data tools, platforms, and technologies, including relational/NoSQL databases, cloud platforms (AWS, Azure, Google Cloud), data warehousing, and ETL frameworks, while mentoring junior team members on best practices. Automation & Monitoring: Implement and support automated monitoring systems to detect data anomalies, system failures … . o Proficiency in one or more programming languages (e.g., Python, Scala, Java) for data integration, automation, and problem-solving. o In-depth experience with cloud data platforms (AWS, Azure, Google Cloud) and Microsoft services (e.g., Azure Storage, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, Microsoft Fabric, Microsoft Purview). o Deep More ❯