1 to 25 of 516 Azure Synapse Analytics Jobs in England

Join to apply for the Azure data Engineer role at IBM 3 days ago Be among the first 25 applicants Join to apply for the Azure data Engineer role at IBM Get AI-powered advice on this job and more exclusive features. Introduction In this role, you’ll work in one of our IBM Consulting Client Innovation Centres … pension plan of an additional 5% of your base salary paid by us monthly to save for your future. Your Role And Responsibilities A data engineer with expertise in Azure toolset advises on, develops, and maintains data engineering solutions on the Azure Cloud ecosystem. They design, build, and operate batch and real-time data pipelines using Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. This role also involves designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. The data engineer is proficient in Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse More ❯

We are seeking a strategic and hands-on Lead Data Engineer to own the development of Aerial Direct’s cloud-native data platform. Working primarily within the Microsoft Azure ecosystem, you will be responsible for building and maintaining scalable data pipelines, optimising architecture for performance, and enabling actionable insights across the business. In addition to technical delivery, you will … the year including our famous Christmas Party, summer party & Employee Awards! Company pension scheme You’ll get involved in: Data Strategy, Architecture & Engineering Owning and evolving Aerial Direct’s Azure-based data platform, ensuring performance, security, and scalability. Design, management, and optimisation of data warehouse and data lake schemas to support downstream analytics, dashboards, and operational processes. Leading … development and optimisation of ETL/ELT pipelines using Azure Data Factory, including data ingress/egress processes (Batch files, SFTP, API etc). Ensuring all data assets are structured to reflect business logic and enable consistent, reusable reporting. Establishing best practices for data ingestion, transformation, storage, and quality across systems (CRM, billing, contact centre, provisioning). Ownership of More ❯

share our passion for ideas and commitment to excellence, we want you to join us. To learn more visit alti-global.com. Job Description & Overview The Head of Data Engineering & Analytics will lead the development and execution of AlTi’s enterprise data engineering strategy, enabling the capture, transformation, storage and delivery of high-quality data across the firm’s global … and governance frameworks. This is a pivotal role in AlTi’s shift toward becoming a data-driven organization, with significant influence over our platform architecture, data quality standards, and analytics solutions. It will partner closely with both technology teams and business stakeholders. Job Responsibilities Develop and lead a high-performing global data engineering team, championing excellence in data timeliness … ensure timely and accurate data flow across key business platforms including Addepar, NetSuite, Salesforce, and other external and internal applications. Manage cloud-based data infrastructure on platforms such as Azure, Amazon Web Services, or Google Cloud Platform, with focus on cost optimization, stability, scalability, and performance. Collaborate with business analytics and data science teams to ensure data environments More ❯

future growth and innovation of the company. Role: Senior Data Engineer and Platform Lead Location: Hybrid/Remote Position: Staff We are looking for a highly skilled and experienced Azure Data Engineer to join our dynamic Global Data & Analytics Platform team. The successful candidate will be responsible for delivering scalable data solutions on the Global Data Platform, managing … the platform, and driving its further development. This role requires proficiency in data engineering, data modelling, and data pipeline orchestration, with a proven track record of working with Azure-specific data platform tools and technologies. Strategic and forward-thinking capabilities, as well as experience in applying AI within a business data environment, are essential. Additionally, strong soft skills are … necessary to collaborate effectively with cross-functional international teams and communicate complex technical concepts to non-technical stakeholders. Responsibilities Role Description: Take ownership of the Azure-hosted analytical platform , ensuring it meets current and future business requirements. Optimize the platform for performance, security, and scalability, ensuring alignment with best practices. Design and develop scalable ETL pipelines and data solutions More ❯

And may also supervise other support staff members, along with serving as the liaison for external contractors or service providers. Role Accountabilities Responsible for owning the MI, BI and Analytics relationship and working closely with operational leaders to ensure all reporting meets the business requirements. Importantly, this role must ensure that these functions are carried out in line with …/Claims). Ensure that data is well-structured and of sufficient quality so that it can be leveraged to provide meaningful insights Help to define a data and analytics strategy which makes optimal use of business data according to industry best practice Utilise knowledge of insurance industry processes combined with the effective use of data to aid decision … Mapping skills, knowledge of Data Warehousing Concepts, and Logical Modelling Skills. Strong Business Analyst skills, including process mapping, requirements gathering,and stakeholder management Previous experience and good understanding of Azure data tools Proficient in Power BI Proven ability to motivate and influence small and/or large technical teams Experience of working to defined strategies and goals, taking ownership More ❯

Senior Data Engineer – Azure Platform Overview Amtis is proud to be recruiting for an exciting opportunity to join a forward-thinking data team. This role is ideal for a technically skilled and proactive data engineer passionate about building scalable, secure, and high-performing data solutions in Azure. You’ll play a key role in shaping the data strategy, enhancing … platform capabilities, and supporting business intelligence initiatives. Key Responsibilities Design and develop Azure data pipelines using Data Factory, Databricks, and related services. Implement and optimize ETL processes for performance, reliability, and cost-efficiency. Build scalable data models and support analytics and reporting needs. Design and maintain Azure-based data warehouses and data lakes. Ensure data governance, security … and compliance with GDPR and other regulations. Collaborate with cross-functional teams to gather requirements and deliver solutions. Manage Azure SQL databases, including performance tuning and monitoring. Monitor and maintain data infrastructure, resolving issues proactively. Document technical designs and share knowledge through training and code reviews. Contribute to big data analytics and machine learning initiatives. Continuously improve platform More ❯

Senior Data Engineer – Azure Platform Overview Amtis is proud to be recruiting for an exciting opportunity to join a forward-thinking data team. This role is ideal for a technically skilled and proactive data engineer passionate about building scalable, secure, and high-performing data solutions in Azure. You’ll play a key role in shaping the data strategy, enhancing … platform capabilities, and supporting business intelligence initiatives. Key Responsibilities Design and develop Azure data pipelines using Data Factory, Databricks, and related services. Implement and optimize ETL processes for performance, reliability, and cost-efficiency. Build scalable data models and support analytics and reporting needs. Design and maintain Azure-based data warehouses and data lakes. Ensure data governance, security … and compliance with GDPR and other regulations. Collaborate with cross-functional teams to gather requirements and deliver solutions. Manage Azure SQL databases, including performance tuning and monitoring. Monitor and maintain data infrastructure, resolving issues proactively. Document technical designs and share knowledge through training and code reviews. Contribute to big data analytics and machine learning initiatives. Continuously improve platform More ❯

afield, we’ll accept applications for remote workers! Core skills we’re looking for to succeed in the role: Data & Technology: You have a passion for all things data, analytics, and technology with experience of working with metadata driven pipelines Self-starter: You can triage workloads and act autonomously to achieve goals. Mentorship: You thrive as a role model … discrepancies. You’ll build solutions that pipe transform data into data lake storage areas, physical database models and reporting structures across data lake, data warehouse, business intelligence systems and analytics applications. You’ll build physical data models that are appropriately designed to meet business needs and optimise storage requirements, ensuring maximum re-use. You’ll carry out unit testing … extensive experience of developing and implementing end to end data solutions in the cloud preferably in Azure. Experience engineering with big data technologies such as Databricks and/or Synapse Analytics, using PySpark. Solution design experience across end-to-end data solutions (sourcing to consumption) Experience in Azure services such as Data Factory, Azure Functions, ADLS More ❯

Be Doing Lead and coordinate a team of MI Analysts, Data Analysts, and BI Developers to deliver insightful analysis and reporting supporting business managers. Own the MI, BI, and Analytics function, working with operational leaders to ensure reporting meets business needs. Ensure compliance with policies, procedures, legislative, and regulatory requirements while maintaining excellent internal customer service. Develop and execute … plus. Proficient in SQL, R or Python, data visualisation, statistical programming, and data science techniques. Strong understanding of data warehousing, data mapping, logical modelling, and business analysis. Experience with Azure data tools and Power BI. Proven ability to lead and influence technical teams. Experience with project management and Agile methodologies. Strong communication skills, capable of explaining technical concepts to … technical audiences. Problem-solving skills with a business focus and stakeholder management experience. Knowledge of change management and systems processes. Comfortable with cloud platforms and Microsoft stack tools like Synapse, Databricks, Azure Data Factory, and Azure DevOps. Programming experience in Python, SQL, T-SQL, and SSIS. Understanding of ELT/ETL processes, RESTful APIs, and integration concepts. More ❯

Be Doing Lead and coordinate a team of MI Analysts, Data Analysts, and BI Developers to deliver insightful analysis and reporting supporting business managers. Own the MI, BI, and Analytics function, working with operational leaders to ensure reporting meets business needs. Ensure compliance with policies, procedures, legislative, and regulatory requirements while maintaining excellent internal customer service. Develop and execute … plus. Proficient in SQL, R or Python, data visualisation, statistical programming, and data science techniques. Strong understanding of data warehousing, data mapping, logical modelling, and business analysis. Experience with Azure data tools and Power BI. Proven ability to lead and influence technical teams. Experience with project management and Agile methodologies. Strong communication skills, capable of explaining technical concepts to … technical audiences. Problem-solving skills with a business focus and stakeholder management experience. Knowledge of change management and systems processes. Comfortable with cloud platforms and Microsoft stack tools like Synapse, Databricks, Azure Data Factory, and Azure DevOps. Programming experience in Python, SQL, T-SQL, and SSIS. Understanding of ELT/ETL processes, RESTful APIs, and integration concepts. More ❯

Be Doing Lead and coordinate a team of MI Analysts, Data Analysts, and BI Developers to deliver insightful analysis and reporting supporting business managers. Own the MI, BI, and Analytics function, working with operational leaders to ensure reporting meets business needs. Ensure compliance with policies, procedures, legislative, and regulatory requirements while maintaining excellent internal customer service. Develop and execute … plus. Proficient in SQL, R or Python, data visualisation, statistical programming, and data science techniques. Strong understanding of data warehousing, data mapping, logical modelling, and business analysis. Experience with Azure data tools and Power BI. Proven ability to lead and influence technical teams. Experience with project management and Agile methodologies. Strong communication skills, capable of explaining technical concepts to … technical audiences. Problem-solving skills with a business focus and stakeholder management experience. Knowledge of change management and systems processes. Comfortable with cloud platforms and Microsoft stack tools like Synapse, Databricks, Azure Data Factory, and Azure DevOps. Programming experience in Python, SQL, T-SQL, and SSIS. Understanding of ELT/ETL processes, RESTful APIs, and integration concepts. More ❯

Job Description Job Title: QA Tester – ETL Testing (Informatica) & Azure Data Engineering Location: Westminster, London Type: Full-time Department: Quality Assurance/Data Engineering Reporting to: Data Engineering Lead Job Summary: We are looking for a skilled and detail-oriented QA Tester with hands-on experience in ETL testing (Informatica or Microsoft Fabric) and a strong understanding of Azure Data Engineering tools such as Azure SQL Database , Azure Blob Storage , and Azure Data Factory . The ideal candidate will possess good hands-on knowledge of writing and executing SQL queries to validate data across systems. Experience in Microsoft Fabric is considered a strong bonus. Key Responsibilities: Perform ETL/data pipeline testing using Informatica PowerCenter … or IICS . Validate data ingestion , transformation , and loading processes across Azure services. Execute source-to-target data validation , data profiling, and data reconciliation. Write and execute complex SQL queries to validate data transformations, aggregations, and business rules in Azure SQL Database and other relational platforms. Test data flows and integrations involving: Azure Data Factory (ADF) Azure More ❯

Job Summary: We are looking for a skilled and detail-oriented QA Tester with hands-on experience in ETL testing (Informatica or Microsoft Fabric) and a strong understanding of Azure Data Engineering tools such as Azure SQL Database , Azure Blob Storage , and Azure Data Factory . The ideal candidate will possess good hands-on knowledge of … Microsoft Fabric is considered a strong bonus. Key Responsibilities: Perform ETL/data pipeline testing using Informatica PowerCenter or IICS . Validate data ingestion , transformation , and loading processes across Azure services. Execute source-to-target data validation , data profiling, and data reconciliation. Write and execute complex SQL queries to validate data transformations, aggregations, and business rules in Azure … relational platforms. Test data flows and integrations involving: Analyze data mapping specifications and support data quality and audit initiatives. Log, track, and retest defects using tools like JIRA or Azure DevOps . Collaborate closely with developers, data engineers, and business analysts. Contribute to daily Agile ceremonies and maintain clear and detailed QA documentation. Required Skills & Experience: 3–7 years More ❯

to Microsoft Fabric, including hands-on development and implementation of a robust strategy for transitioning datasets, ETL pipelines, and reporting solutions to the cloud. Build scalable ETL processes using Azure Data Factory, Azure Synapse, and other Fabric-native tools, ensuring a smooth integration between the on-prem and future cloud environments. Design and implement Azure-based … data architecture, leveraging tools like Azure Data Lake, Azure Synapse Analytics, and Fabric’s data capabilities to future-proof the platform. Utilise Azure tools such as Synapse Analytics, Logic Apps, and Azure Functions to streamline data processing and orchestration across the business. Empower stakeholders to build their own reports and dashboards by … self-service capabilities. Required Background Extensive experience in maintaining and optimising on-premises SQL Server data warehouses, focusing on stored procedures, indexing, partitioning, and load performance. An understanding of Azure cloud tools such as Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, and Logic Apps Proficiency in writing advanced SQL queries, stored procedures More ❯

including hands-on development and implementation of a robust strategy for transitioning datasets, ETL pipelines, and reporting solutions to the cloud. ETL & Pipeline Development: Build scalable ETL processes using Azure Data Factory, Azure Synapse, and other Fabric-native tools, ensuring a smooth integration between the on-prem and future cloud environments. Cloud Infrastructure Design: Design and implement … Azure-based data architecture, leveraging tools like Azure Data Lake, Azure Synapse Analytics, and Fabric’s data capabilities to future-proof the platform Azure Expertise: Utilize Azure tools such as Synapse Analytics, Logic Apps, and Azure Functions to streamline data processing and orchestration across the business. End-User Reporting & Analytics … using Kimball methodologies, dimensional modeling, star schema design, and Data Vault techniques is essential. You should be well-versed in applying data architecture principles to create robust, scalable solutions Azure Cloud Proficiency: Deep understanding of Azure cloud tools such as Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, and Logic Apps Microsoft More ❯

/LeadData Engineer to join their growing data team. This role will be instrumental in designing, building, and maintaining a modern data warehouse and data infrastructure to support advanced analytics and reporting needs for a fast-growing organisation. Key Responsibilities: Design, develop, and maintain scalable data pipelines using SQL and Python (PySpark) . Ingest, transform, and curate data from … multiple sources into Azure Data Lake and Delta Lake formats. Build and optimize datasets for performance and reliability in Azure Databricks . Collaborate with analysts and business stakeholders to translate data requirements into robust technical solutions. Implement and maintain ETL/ELT pipelines using Azure Data Factory or Synapse Pipelines . Design and develop a fit … policies. Monitor and troubleshoot production jobs and processes. Preferred Skills & Experience: Strong proficiency in SQL for data transformation and performance tuning. Solid experience with Python , ideally using PySpark in Azure Databricks . Hands-on experience with Azure Data Lake Storage Gen2 . Understanding of data warehouse concepts , dimensional modelling , and data architecture . Experience working with Delta Lake More ❯

of our highly skilled data platform engineering team. Together, we are building a secure, scalable, and efficient data platform to empower Axpo’s decentralized business hubs with self-service analytics and AI capabilities. We work in close collaboration with stakeholders across Europe, bringing together global innovation and local context. What You Will Do As a Databricks Solution Architect, you …/CD, and infrastructure-as-code. Promote and govern usage of Unity Catalog for access control, lineage, and metadata management. Champion platform observability, data quality, and operational monitoring across analytics pipelines. Evaluate new Databricks features (e.g., Delta Sharing, governance enhancements) and lead their integration into platform capabilities. Establish solution review processes and mentor engineers and analysts on architectural thinking … of Delta Lake, Lakehouse architecture, and Unity Catalog governance. Expertise in Python, SQL, and optionally Scala; strong familiarity with dbt and modern ELT practices. Proven experience integrating Databricks with Azure services (e.g., Data Lake, Synapse, Event Hubs). Hands-on knowledge of CI/CD, GitOps, Terraform, and orchestration tools (e.g., Dragster, Airflow). Sound understanding of enterprise More ❯

make the UK what it is. Why Join KPMG Data and AI Team We are looking for a skilled and proactive Data Engineer with strong expertise in the Microsoft Azure data ecosystem , including Microsoft Fabric , Synapse Analytics , and Delta Lake . This role requires hands-on experience in building and optimising data pipelines and notebooks, transforming large … stakeholders (CFO, CDO, CIO) to cultivate relationships as a trusted partner through articulating and realizing the value of data. Design, develop, and maintain robust data pipelines and notebooks using Synapse Analytics and Microsoft Fabric. Build and optimise complex data transformation and ingestion logic to support enterprise-level reporting and analytics. Leverage Delta Lake architecture to support both batch … processes. Develop high-quality, reusable code in Python and PySpark , following best practices and ensuring maintainability. Create insightful, interactive reports and dashboards using Power BI . Use Git and Azure DevOps (ADO) for version control and deployment workflows. Continuously improve the performance, reliability, and scalability of data systems. Advocate for best practices in data governance, data quality, and documentation More ❯

make the UK what it is. Why Join KPMG Data and AI Team We are looking for a skilled and proactive Data Engineer with strong expertise in the Microsoft Azure data ecosystem , including Microsoft Fabric , Synapse Analytics , and Delta Lake . This role requires hands-on experience in building and optimising data pipelines and notebooks, transforming large … stakeholders (CFO, CDO, CIO) to cultivate relationships as a trusted partner through articulating and realizing the value of data. Design, develop, and maintain robust data pipelines and notebooks using Synapse Analytics and Microsoft Fabric. Build and optimise complex data transformation and ingestion logic to support enterprise-level reporting and analytics. Leverage Delta Lake architecture to support both batch … data processes. Develop high-quality, reusable code in Python and PySpark, following best practices and ensuring maintainability. Create insightful, interactive reports and dashboards using Power BI. Use Git and Azure DevOps (ADO) for version control and deployment workflows. Continuously improve the performance, reliability, and scalability of data systems. Advocate for best practices in data governance, data quality, and documentation. More ❯

client, a forward-thinking organization using data to drive innovation and business performance. They’re expanding their team and are looking for a talented Data Engineer with experience in Azure and Databricks to join the team. Salary and Benefits £55,000 – £65,000 salary depending on experience 10% performance-related bonus Hybrid working model – 2 days in the Greater … The Role: As a Data Engineer, you'll play a key role in designing, building, and maintaining high-quality data pipelines and architectures that support our business intelligence and analytics goals. You'll work closely with data scientists, analysts, and other engineers to deliver reliable and performant data solutions. Key Responsibilities: Develop and manage scalable data pipelines using Azure Data Factory, Data Lake, Synapse, and Databricks. Build and maintain Delta Lake architectures to support both batch and real-time processing. Collaborate with stakeholders to define data requirements and translate them into robust technical solutions. Ensure data quality, performance tuning, and cost efficiency across cloud services. Contribute to DevOps processes, including CI/CD pipelines and infrastructure-as More ❯

have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the … the Role: We are currently looking for a Senior Data Engineer to manage teams on client projects. Your Profile: Proven experience as a Data Engineer with a focus on Azure cloud services. Experience of managing small teams whilst also being hands-on. Strong database fundamentals including SQL/TSQL, performance and schema design. Experience architecting and building data applications … using Azure, specifically a Data Warehouse and/or Data Lake. Technologies : Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Databricks and Power BI. Experience with creating low-level designs for data platform implementations. ETL pipeline development for the integration with data sources and data transformations including the creation of supplementary More ❯

client, a forward-thinking organization using data to drive innovation and business performance. They’re expanding their team and are looking for a talented Data Engineer with experience in Azure and Databricks to join the team. Salary and Benefits £55,000 – £65,000 salary depending on experience 10% performance-related bonus Hybrid working model – 2 days in the Greater … The Role: As a Data Engineer, you'll play a key role in designing, building, and maintaining high-quality data pipelines and architectures that support our business intelligence and analytics goals. You'll work closely with data scientists, analysts, and other engineers to deliver reliable and performant data solutions. Key Responsibilities: Develop and manage scalable data pipelines using Azure Data Factory, Data Lake, Synapse, and Databricks. Build and maintain Delta Lake architectures to support both batch and real-time processing. Collaborate with stakeholders to define data requirements and translate them into robust technical solutions. Ensure data quality, performance tuning, and cost efficiency across cloud services. Contribute to DevOps processes, including CI/CD pipelines and infrastructure-as More ❯

have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the … the Role: We are currently looking for a Senior Data Engineer to manage teams on client projects. Your Profile: Proven experience as a Data Engineer with a focus on Azure cloud services. Experience of managing small teams whilst also being hands-on. Strong database fundamentals including SQL/TSQL, performance and schema design. Experience architecting and building data applications … using Azure, specifically a Data Warehouse and/or Data Lake. Technologies : Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Databricks and Power BI. Experience with creating low-level designs for data platform implementations. ETL pipeline development for the integration with data sources and data transformations including the creation of supplementary More ❯

have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the … the Role: We are currently looking for a Senior Data Engineer to manage teams on client projects. Your Profile: Proven experience as a Data Engineer with a focus on Azure cloud services. Experience of managing small teams whilst also being hands-on. Strong database fundamentals including SQL/TSQL, performance and schema design. Experience architecting and building data applications … using Azure, specifically a Data Warehouse and/or Data Lake. Technologies : Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Databricks and Power BI. Experience with creating low-level designs for data platform implementations. ETL pipeline development for the integration with data sources and data transformations including the creation of supplementary More ❯

mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home … a key role in crafting data platforms, models, and pipelines that inform strategic decision-making for our customers and prepare data for a variety of use cases from simple analytics to Generative AI and Data Science. This role reports into our Principal Data Engineer. Your Role Collaborate and Innovate: Partner with internal and customer stakeholders to understand business needs … flexible blend of remote and on-site work. Contribute to Accelerators: Help evolve Ascent’s Data accelerators, patterns, and metadata frameworks, enabling rapid implementation of effective solutions. Your Skills Azure Data Engineering: Proven success as an Azure Data Engineer, with the ability to consult, advise, engineer, and optimize data products and assets. Azure Data Products: Expertise in More ❯