10 of 10 Azure Synapse Analytics Jobs in Buckinghamshire

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 ❯

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 … are looking for a highly skilled Data Solution Architect with deep expertise in designing and implementing cloud-native data platforms . The ideal candidate will have strong experience across Azure and AWS , with the ability to create scalable, secure, and high-performing data architectures that meet complex business needs. You will play a key role in shaping data strategies … to pre-sales, and ensuring data solutions align with modern best practices in cloud architecture and governance. Responsibilities: Design and architect robust, scalable, and cost-effective data platforms on Azure and AWS . Translate business requirements into end-to-end technical solutions, covering data ingestion, transformation, storage, analytics, and visualization. Present architectural options and proposals to clients and 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 … are looking for a highly skilled Data Solution Architect with deep expertise in designing and implementing cloud-native data platforms . The ideal candidate will have strong experience across Azure and AWS , with the ability to create scalable, secure, and high-performing data architectures that meet complex business needs. You will play a key role in shaping data strategies … to pre-sales, and ensuring data solutions align with modern best practices in cloud architecture and governance. Responsibilities: Design and architect robust, scalable, and cost-effective data platforms on Azure and AWS . Translate business requirements into end-to-end technical solutions, covering data ingestion, transformation, storage, analytics, and visualization. Present architectural options and proposals to clients and More ❯

teams to gather requirements and deliver tailored data solutions. Build and refine automated data processes ensuring data accuracy and availability for reporting and analysis. Support the rollout of an Azure-based data lake, working alongside external partners and internal stakeholders. Design and implement scalable ETL packages using Microsoft tools such as SSIS and SSRS. Produce and enhance interactive reports … Key Requirements of the Data Engineer: Strong expertise in SQL, SSIS for ETL pipeline creation, and SSRS for report development. Experience with Power BI for data visualisation. Familiarity with Azure data services such as Data Lake, Data Factory, and Synapse Analytics is an advantage. Ability to work with diverse data sources and formats Strong communication skills with More ❯

ELT, data warehousing, data lake, data lakehouse, data governance, Big Data, AI/ML, reporting and data visualisation. Knowledge of IT infrastructure, networking, security and cloud technologies such as Azure (Azure integration and data Services, Azure Data Factory, Azure Synapse Analytics, Azure Databricks Collaborated with Data Engineers to define data integration and orchestration … manipulation. Identity and Access Management (IAM) Concepts: Understanding of directory services, identity lifecycle management, and privilege management. Familiarity with technologies like REST, SCIM, Active Directory, LDAP, and cloud platforms (Azure, AWS, GCP). Knowledge of automation tools and concepts for streamlining verification processes. Ability to create clear and effective visualizations to communicate data insights. Soft Skills: Strong written and More ❯

and loading data , ensuring quality and consistency throughout the process. This role is ideal for someone with a strong technical background in data engineering and experience with Microsoft/Azure data tools, particularly in a CRM or Dynamics/D365 environment. In the medium term, there will be scope and opportunity to build modern, cloud-native data solutions using … Azure Synapse or Microsoft Fabric. Key Responsibilities As the sole Data Engineer for this programme of work, perform ETL (Extract, Transform, Load) processes to migrate data into D365 CE modules (e.g., Sales, Customer Service, Field Service). Work with data from legacy CRM systems, spreadsheets, databases, and other source platforms. Map source data to Dynamics 365 CE entities … Significant Data Migration and Data Engineering experience, ideally with some prior exposure to a Dynamics 365 CE (Sales, Customer Service, Field Service) or Microsoft Dataverse environment. Experience with Microsoft Azure technologies and data services (e.g., Azure Data Factory, Azure Synapse Analytics). Strong hands-on experience with ETL tools such as Azure Data Factory More ❯

and loading data , ensuring quality and consistency throughout the process. This role is ideal for someone with a strong technical background in data engineering and experience with Microsoft/Azure data tools, particularly in a CRM or Dynamics/D365 environment. In the medium term, there will be scope and opportunity to build modern, cloud-native data solutions using … Azure Synapse or Microsoft Fabric. Key Responsibilities As the sole Data Engineer for this programme of work, perform ETL (Extract, Transform, Load) processes to migrate data into D365 CE modules (e.g., Sales, Customer Service, Field Service). Work with data from legacy CRM systems, spreadsheets, databases, and other source platforms. Map source data to Dynamics 365 CE entities … Significant Data Migration and Data Engineering experience, ideally with some prior exposure to a Dynamics 365 CE (Sales, Customer Service, Field Service) or Microsoft Dataverse environment. Experience with Microsoft Azure technologies and data services (e.g., Azure Data Factory, Azure Synapse Analytics). Strong hands-on experience with ETL tools such as Azure Data Factory More ❯

have partnered with a leading retail company who are currently recruiting for a data analyst to optimise their business by leveraging data driven insights. The role will focus on analytics on an existing Azure based data platform, and will include data extraction, cleaning, analysis, and visualisation whilst using SQL SSIS/SSRS software. Responsibilities of the Data Analyst … deliver insights. Build Power BI dashboards. Extract, clean, and transform data from existing platforms (e.g., ERP, CRM, or bespoke systems). Help with designing and implementing pipelines for the Azure Data Lake. Present data insights to non-technical audiences. Requirements of the Data Analyst: Previous experience working as a data analyst, driving actionable insights. Experience using SQL (SSRS/… SSIS) for managing databases. Ability to manipulate data. Knowledge of Azure data tools, including Data Lake, Data Factory, and Synapse Analytics. Experience with data visualisation tools like Power BI. Strong communication and presentation skills. Role: Data Analyst Location: High Wycombe/Hybrid Salary: £40,000 - £45,000 per annum More ❯

have partnered with a leading retail company who are currently recruiting for a data analyst to optimise their business by leveraging data driven insights. The role will focus on analytics on an existing Azure based data platform, and will include data extraction, cleaning, analysis, and visualisation whilst using SQL SSIS/SSRS software. Responsibilities of the Data Analyst … deliver insights. Build Power BI dashboards. Extract, clean, and transform data from existing platforms (e.g., ERP, CRM, or bespoke systems). Help with designing and implementing pipelines for the Azure Data Lake. Present data insights to non-technical audiences. Requirements of the Data Analyst: Previous experience working as a data analyst, driving actionable insights. Experience using SQL (SSRS/… SSIS) for managing databases. Ability to manipulate data. Knowledge of Azure data tools, including Data Lake, Data Factory, and Synapse Analytics. Experience with data visualisation tools like Power BI. Strong communication and presentation skills. Role: Data Analyst Location: High Wycombe/Hybrid Salary: £40,000 - £45,000 per annum To discuss this exciting opportunity in more detail, please More ❯

Data Architect with 15+ years of experience, specializing in Microsoft Azure Cloud Platform Architecture and technologies. The ideal candidate should be having extensive expertise in Azure ADF, Data Bricks, Azure Data Lake with Synapse database experience. Responsibilities: • Lead the design and architecture of innovative and scalable solutions using Microsoft Azure Architecture and Technologies. • Collaborate closely … communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and stakeholders. • Experience in the hospitality and ecommerce domains is a significant plus. 1. Proficient in Azure Data Factory 2. Proficient in Azure PaaS SQL, Azure Synapse 3. Strong SQL knowledge is a must (including analytical functions in SQL) 4. Quick problem solving More ❯