1 to 25 of 105 Azure Synapse Analytics Jobs in the Midlands

level at one of the Sunday Times Top 100 Best Companies to Work For? Cooper Parry are seeking a skilled and proactive Data Engineer to join our growing Data & Analytics team. You will play a critical role in designing, building, and maintaining robust, scalable data infrastructure on the Azure and Microsoft stack, enabling enterprise-wide analytics, reporting … and data science initiatives. This role offers the opportunity to shape the foundation of our future "lab and factory" model of analytics and ML delivery. A day in the life of a CP Data Engineer... Design and build end-to-end data pipelines and integrations using Azure Data Factory, Azure Synapse and related tools Monitor data … problems Develop and support a Lakehouse architecture, including structured and unstructured data ingestion, processing, and consumption layers Implement and optimise semantic models for Power BI and support self-service analytics across CP Support the development of a secure and scalable analytics lab environment for advanced analytics and ML experimentation Work with the team to implement data architecture More ❯

Data Engineering Consultant (all levels) We’re working with a globally recognised consultancy that delivers cutting-edge digital, data, and analytics solutions to some of the most complex infrastructure projects across the UK and beyond. With a strong commitment to technical excellence, inclusion, and client impact, they partner with high-profile organisations to help them unlock the full potential … at various seniority levels — from experienced engineers to those ready to step into leadership roles. The Role As a Data Engineering Consultant, you will: Collaborate with stakeholders across development, analytics, and business teams to define and implement components of the data landscape in line with strategic data goals Translate business and end-user needs into robust technical solutions, delivery … new technologies, and drive technical innovation across client projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python More ❯

job poster from Xcede Associate Director – Data & AI Recruitment Data Engineering Consultant (all levels) We’re working with a globally recognised consultancy that delivers cutting-edge digital, data, and analytics solutions to some of the most complex infrastructure projects across the UK and beyond. With a strong commitment to technical excellence, inclusion, and client impact, they partner with high … at various seniority levels — from experienced engineers to those ready to step into leadership roles. The Role As a Data Engineering Consultant, you will: Collaborate with stakeholders across development, analytics, and business teams to define and implement components of the data landscape in line with strategic data goals Translate business and end-user needs into robust technical solutions, delivery … new technologies, and drive technical innovation across client projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python More ❯

About the role North Northamptonshire Council are working to modernise their data management and visualisation processes. We are working to deliver our data analytics strategy. This role will support the design and delivery of the data warehousing, data infrastructure and (where required) the migration of existing data sources (data pipeline and Extract Transform Load (ETL) processes), the primary objective … such as Power BI and Excel power query. The current technology stack is predominantly based on Microsoft SQL databases, and we are focussing our data strategy on the Microsoft Azure, Fabric and Power BI toolsets. What will you be doing? The Key Responsibilities of the role will be: Understand and document the data landscape across NNC - both today and … forwards Scope technical designs and support decision making around required toolsets and processes Define and build required data warehouse solution/s to meet the requirements of the data analytics strategy Lead any required data migrations from on-premises or 3rd party hosted databases/repositories Build and support data-pipelines using ETL tools such as MS Azure More ❯

this role you will play an integral part in supporting the implementation of the Institutional Data Strategy and data informed decision-making by improving the University’s data infrastructure, analytics capabilities, and institutional reporting. If you are looking to develop your experience of supporting impactful change and are passionate about demonstrating the value of data and analytics in … Create with colleagues APIs and data integrations to enable seamless data access and flow between systems for warehousing and Analytics. Optimize the performance and scalability of data systems. Utilize Azure Data Factory and other Azure tools for data management and processing. Take IT Services ownership of the creation of conceptual and Logical models working with University business leads … influential work roles. Proven experience as a Data Architect, Data Engineer, or similar role in a complex organization. Expertise in designing and implementing data architectures in cloud environments (e.g., Azure, AWS, or Google Cloud). Hands on experience with Snowflake, dbt, and Azure Data Services (e.g., Data Factory, Synapse, or similar). Experience with ETL/ELT More ❯

starter, technically confident, and able to land on a project and instantly add value. With a quantitative mindset and proven experience working in a data architecture role in an Azure ecosystem, Azure modern data platform experience is essential, with hands-on skills preferred. You will be a Data Architect: a master data manipulator with Python/SQL/… approaches to monitoring and error-handling Understanding of Kimball data-modelling techniques Hands-on experience and ability to collaborate with data engineers to polish solutions for customer-readiness SQL Azure, Synapse Analytics (dataflows, Jupyter notebooks, on-demand SQL), Databricks, ADF Power BI, DAX, data flows SSIS Appreciation of information security standards such as ISO27001, PCI-DSS or … Cyber Essentials BPSS clearance will be required on start Desirable experience: At least 3 years of public sector experience Azure data certifications (DP-203, DP-600) Data Governance tools (e.g. Microsoft Purview) Community engagement and amplification of best practice at organisation & industry level Integration to D365 and Dataverse solutions Azure storage technologies and cost/performance characteristics Techniques More ❯

truly resonate with our clients driving extreme value! Who we are looking for: We are seeking a technical lead to join our Data practice, with a data consultancy/Azure background experienced in leading client projects. Primarily a technical role, it is essential that you are able to play well with others within a fast-paced environment. You will … updated in the latest technologies, with a broad interest in all things Data. Having a quantitative mindset and proven experience working in a data solutions architecture role in an Azure ecosystem is essential. Azure Modern Data Platform experience is required, with hands-on skills. You will understand networks, security, and performance/cost characteristics of your solutions and … Government or Financial Services experience 7+ years’ experience of hands-on skills with ETL/ELT tools End-to-end migration of on-prem SQL-Server based solutions into Azure Working knowledge of Microsoft Cloud Adoption Framework and Well Architected Framework Integration to D365, Dataverse solutions or other SaaS applications Creation of fault-tolerant data ingestion pipelines in Azure More ❯

seeking for a highly experienced Cloud Solution Architect to join our growing team. This role is responsible for designing, implementing, and optimizing large-scale data and cloud solutions across Azure, Databricks, and Microsoft Fabric. Must have proven track record in managing complex, large-scale data environments (1000TB+) with prior experience in the utilities or telemetry/SCADA systems domain … is a strong plus. Your responsibilities: (Up to 10, Avoid repetition) Architect and implement scalable, secure, and high-performance data platforms using Azure, Databricks, and Microsoft Fabric for real-time and batch processing. Lead integration across structured and unstructured data sources such as SCADA, SAP, APIs, telemetry, and time-series data using modern ETL/ELT patterns. Establish robust … including data masking, encryption, lineage, access controls, and regulatory adherence (e.g., GDPR, ISO 27001). Design and optimize cloud-native storage and compute architectures using Delta Lake, ADLS Gen2, Synapse, Azure SQL, Cosmos DB, and NoSQL for petabyte-scale workloads. Implement event-driven and real-time streaming architectures using Kafka, Azure Event Hubs, IoT Hub, and Lambda More ❯

Team-oriented, with a positive attitude and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory … Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and More ❯

Team-oriented, with a positive attitude and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory … Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and More ❯

Team-oriented, with a positive attitude and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory … Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and More ❯

Team-oriented, with a positive attitude and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory … Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and More ❯

Team-oriented, with a positive attitude and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory … Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and More ❯

Team-oriented, with a positive attitude and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory … Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and More ❯

Team-oriented, with a positive attitude and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory … Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and More ❯

Team-oriented, with a positive attitude and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory … Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and More ❯

Team-oriented, with a positive attitude and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory … Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and More ❯

Team-oriented, with a positive attitude and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory … Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and More ❯

Team-oriented, with a positive attitude and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory … Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and More ❯

Team-oriented, with a positive attitude and a strong sense of ownership and accountability. Technologies, Methodologies and Frameworks: Direct delivery experience using cloud-native data services, specifically in Microsoft Azure, Fabric, Dataverse, Synapse, Data Lake, Purview. Deep expertise in data engineering tools and practices, including Python, SQL, and modern ETL/ELT frameworks (e.g., Azure Data Factory … Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and More ❯

Join to apply for the Azure Data Engineer role at DDJ Tech Ltd 3 days ago Be among the first 25 applicants Join to apply for the Azure Data Engineer role at DDJ Tech Ltd Get AI-powered advice on this job and more exclusive features. Salary: £43,527 per annum Closing Date: 9th June 2025 Are you … passionate about harnessing the power of data to drive innovation and improve services? Do you have experience working with Azure technologies to create data solutions that are secure, scalable, and insight-driven? Are you always eager to learn new technologies? If so, wed love to hear from you! Location: Birmingham (Hybrid) Salary: £43,527 per annum Contract Type: Permanent … hours per week) Closing Date: 9th June 2025 Are you passionate about harnessing the power of data to drive innovation and improve services? Do you have experience working with Azure technologies to create data solutions that are secure, scalable, and insight-driven? Are you always eager to learn new technologies? If so, wed love to hear from you! We More ❯

if you use AI on your application form*** Are you passionate about harnessing the power of data to drive innovation and improve services? Do you have experience working with Azure technologies to create data solutions that are secure, scalable, and insight-driven? Are you always eager to learn new technologies? If so, we’d love to hear from you … We are seeking a self motivated, enthusiastic and proactive Azure Data Engineer to join our growing team. This pivotal role will be responsible for designing, building, and managing data pipelines and solutions on our Microsoft Azure cloud platform. You’ll be ensuring our data is accessible, secure, and optimised for analysis, playing a crucial part in supporting both … departmental and Trust-wide strategic goals. As an Azure Data Engineer, your key responsibilities will include · Design and Build Data Pipelines: Develop scalable, secure pipelines using Azure Data Factory, Data Lake Storage, and Synapse Analytics. · Transform and Integrate Data: Consolidate structured and unstructured data from various systems into analytics-ready formats. · Manage Data Storage: Optimise storage More ❯

Experience Technical Skills: Data Build Tool (DBT): Minimum 1 year’s hands-on project delivery experience. Microsoft Fabric: Minimum 1 year of practical experience working with Fabric-based solutions. Azure Ecosystem: At least 2 years of experience delivering business solutions using: Azure Data Factory/Synapse Power BI Azure SQL Server Data Modelling: Strong knowledge of … dimensional modelling (Kimball). Familiarity with other techniques such as Data Vault 2.0. Development Experience: Minimum 3 years in database and/or analytics systems development and deployment. Strong understanding of Python and Spark for data transformation and pipeline development. Consulting & Client-Facing: Experience working on consultancy-led projects with external clients. Ability to deliver against agreed project milestones … and manage client expectations. Comfortable running advisory and enablement sessions (online training, mentoring, and client coaching). Likeable, engaging personality with a collaborative, proactive approach. Desirable Skills Azure Data Lake (Azure Storage) Familiarity with additional database technologies such as Oracle, Cosmos DB, and MySQL Experience with BI/reporting tools like QlikSense and Tableau Database performance tuning, query More ❯

Negotiable) Type: Permanent, Full-Time Experience Level: Senior Management Industry: IT Focus: Data Analysis & Business Intelligence About the Role: We are seeking a Senior Data Engineer to join an Azure-native data team. The role involves maintaining and enhancing the data platform, working on data integration, ETL pipelines, analytics, and AI initiatives. Responsibilities: Designing, building, and optimising Azure Data Factory pipelines. Working with SQL Server, Azure Data Lake, and Power BI. Integrating machine learning and AI models into data processes. Collaborating in an Agile Scrum environment using Azure DevOps. Mentoring team members and sharing knowledge. Exploring future capabilities with Azure Synapse Analytics. Requirements: Experience setting up, configuring, and maintaining Azure Data Factory … pipelines for ETL processes. Proficiency in Power BI. Advanced SQL skills. Experience with Git or other version control systems within Azure DevOps. Agile Scrum experience managing work items in Azure DevOps. Strong documentation skills for data pipelines and analytics models. If interested, please send your CV to matthew.collier@robertwalters.com . Robert Walters is a specialist in BI More ❯

available Salary up to £38,000 per annum Our award-winning client, based in Newark, Nottinghamshire is seeking a highly skilled Data Warehouse Engineer to join their Data and Analytics team. This is a full time, permanent position with the opportunity for hybrid working. THE ROLE As a Data Warehouse Engineer , you will have the following responsibilities: Design, develop … in SQL and data modelling techniques. Strong analytical and problem-solving skills with an ability to work in agile development environment independently. Experience with data warehouse platforms (e.g., Snowflake, Azure Synapse, Redshift, BigQuery, or similar). Ability to work independently and manage multiple projects simultaneously. Excellent communication and collaboration skills. THE BENEFITS As a Data Warehouse Engineer , you More ❯