26 to 50 of 54 Azure Synapse Analytics Jobs in Buckinghamshire

across a growing organisation. You’ll act as the primary in-house expert on all things data - shaping our approach to infrastructure, reporting, and analytics while keeping day-to-day services running smoothly. You'll work hands-on across a mixed stack (Power BI, Azure SQL, SQL Server … wants to help a purpose-driven organisation get the most from its data. Key Responsibilities: Design, build, and maintain scalable, secure data pipelines using Azure Data Factory and SSIS. Manage structured and semi-structured data across Azure SQL, SQL Server, and cloud-based data lakes. Develop intuitive, impactful … DAX) and SQL (development and optimisation). Proven experience delivering end-to-end data and reporting solutions in complex, fast-paced environments. Proficiency with Azure SQL, ADF, SSIS, and managing structured/unstructured data within cloud platforms. Experience designing and maintaining data lakes and scalable data architectures. Strong understanding More ❯

Solid understanding of relational databases and data warehouse principles Excellent documentation and written communication skills Ideally, experience with some or all of the following Azure Synapse Analytics, Tabular Editor 3, Microsoft Fabric and Azure Data Platform tools. Confident working with stakeholders at all levels across the More ❯

Solid understanding of relational databases and data warehouse principles Excellent documentation and written communication skills Ideally, experience with some or all of the following Azure Synapse Analytics, Tabular Editor 3, Microsoft Fabric and Azure Data Platform tools. Confident working with stakeholders at all levels across the More ❯

is an exciting opportunity for someone early in their career to gain hands-on experience delivering real-world Data and AI solutions on the Azure platform, while also developing consulting skills through direct customer engagement. In this role, you’ll support the design, development, and deployment of data pipelines … analytics solutions, and AI-powered applications. You’ll work alongside experienced engineers and consultants, contributing to a wide range of projects- from traditional data engineering and reporting to modern machine learning and Generative AI initiatives. We’re looking for someone who is passionate about technology, eager to learn, and … comfortable working in a dynamic environment. You should have a foundation in Python, data handling, and cloud concepts, and an interest in the Microsoft Azure ecosystem. Over time, you’ll also gain exposure to customer-facing activities such as workshops, demos, and project delivery sessions. Key areas you’ll More ❯

is an exciting opportunity for someone early in their career to gain hands-on experience delivering real-world Data and AI solutions on the Azure platform, while also developing consulting skills through direct customer engagement. In this role, you’ll support the design, development, and deployment of data pipelines … analytics solutions, and AI-powered applications. You’ll work alongside experienced engineers and consultants, contributing to a wide range of projects- from traditional data engineering and reporting to modern machine learning and Generative AI initiatives. We’re looking for someone who is passionate about technology, eager to learn, and … comfortable working in a dynamic environment. You should have a foundation in Python, data handling, and cloud concepts, and an interest in the Microsoft Azure ecosystem. Over time, you’ll also gain exposure to customer-facing activities such as workshops, demos, and project delivery sessions. Key areas you’ll More ❯

required by a global insurance company broadening their offering and aiming to build a best in class offering. The Data Engineer must have extensive Azure experience as they will be building a Data LakeHouse whose primary purpose is integration and analytics. Strong Data Governance knowledge is also essential. You … must have excellent Python and SQL, and very strong knowledge of Azure Data related services. You must have designed and built Data Lakes from the ground up – not just maintained or worked on existing implementations. The initial part of the project is an integration between two platforms. Skills required … Azure DataBricks Snowflake Azure Data Lake Python At least one of: NumPy, Pandas, or PySpark SQL Financial Services experience At least one Data related Azure certification Nice to have: PowerBI Azure Synapse C# or Java Data Factory Insurance experience Please note: You must have extensive More ❯

required by a global insurance company broadening their offering and aiming to build a best in class offering. The Data Engineer must have extensive Azure experience as they will be building a Data LakeHouse whose primary purpose is integration and analytics. Strong Data Governance knowledge is also essential. You … must have excellent Python and SQL, and very strong knowledge of Azure Data related services. You must have designed and built Data Lakes from the ground up – not just maintained or worked on existing implementations. The initial part of the project is an integration between two platforms. Skills required … Azure DataBricks Snowflake Azure Data Lake Python At least one of: NumPy, Pandas, or PySpark SQL Financial Services experience At least one Data related Azure certification Nice to have: PowerBI Azure Synapse C# or Java Data Factory Insurance experience Please note: You must have extensive More ❯

least 3 years’ professional experience developing data pipelines and ETLs using Microsoft products. Minimum 1 year of experience working with cloud-native technologies like Azure Data Factory. Demonstrable experience of delivering technical work within time and budget constraints. Good understanding of data security best practices. Experience in supporting ETLs … pipelines crucial to a production system. Experience working in a cross-functional team to deliver technical solutions. Desirable Skills: Experience with SQL Server, SSIS, Azure Data Factory, and Azure SQL. Experience with Cloud and Infrastructure as Code, particularly in an Azure setting using Bicep. Understanding of DevOps … in an agile team. Experience working in a highly regulated industry and with highly sensitive data. Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks. Experience in data science using R, Stata, or Python. Familiarity with Atlassian tools such as JIRA, Confluence, and More ❯

least 3 years’ professional experience developing data pipelines and ETLs using Microsoft products. Minimum 1 year of experience working with cloud-native technologies like Azure Data Factory. Demonstrable experience of delivering technical work within time and budget constraints. Good understanding of data security best practices. Experience in supporting ETLs … pipelines crucial to a production system. Experience working in a cross-functional team to deliver technical solutions. Desirable Skills: Experience with SQL Server, SSIS, Azure Data Factory, and Azure SQL. Experience with Cloud and Infrastructure as Code, particularly in an Azure setting using Bicep. Understanding of DevOps … in an agile team. Experience working in a highly regulated industry and with highly sensitive data. Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks. Experience in data science using R, Stata, or Python. Familiarity with Atlassian tools such as JIRA, Confluence, and More ❯

utlised for reporting purpose in a performent, secure way. Key responsibilities: Taking full ownership of assigned projects and BAU tasks. Maintaining current pipelines within Azure ADF and Synapse Analytics. Build a process of transforming raw data from various CRM system into a harmonised and curated layer. Develop the … Developing and creating data science tools to give a deeper understanding of the customer book. Recording and updating of work on Project Management System (Azure DevOps). Own and enhance the BAU runbook for engineering operations Develop the instrumentation and monitoring of IT automated tasks Taking a lead in … experience, Previous experience of formal methodologies with data engineering Experience leading or working in an engineering team or function Previous experience of using the Azure Stack Experience working in a proactive analytics function Experience of working in the Utilities sector Experience leading technical projects Skills & Technologies required: Proficiency More ❯

utlised for reporting purpose in a performent, secure way. Key responsibilities: Taking full ownership of assigned projects and BAU tasks. Maintaining current pipelines within Azure ADF and Synapse Analytics. Build a process of transforming raw data from various CRM system into a harmonised and curated layer. Develop the … Developing and creating data science tools to give a deeper understanding of the customer book. Recording and updating of work on Project Management System (Azure DevOps). Own and enhance the BAU runbook for engineering operations Develop the instrumentation and monitoring of IT automated tasks Taking a lead in … experience, Previous experience of formal methodologies with data engineering Experience leading or working in an engineering team or function Previous experience of using the Azure Stack Experience working in a proactive analytics function Experience of working in the Utilities sector Experience leading technical projects Skills & Technologies required: Proficiency More ❯

Azure Data Engineer/Consultant – Up to £75K + Bonus Location: Remote (UK-based, with very occasional travel) Salary: Up to £75,000 + bonus Company & role Join one of the UK’s most advanced Microsoft partners, specialising in Azure-led Data & AI solutions. This consultancy is known … deliver impactful solutions across enterprise clients, leveraging the very latest in Microsoft technology. Why This Role Stands Out Play a key role in shaping Azure data strategies for enterprise clients Join a pioneering team adopting Fabric, Synapse, and Databricks in production Be part of a community of thought … the opportunity to share ideas and influence outcomes Home-based flexibility with a focus on work-life balance Key Responsibilities Design and deliver robust Azure data solutions across strategy, ETL, analytics, and AI Lead client workshops and translate business needs into technical design Build scalable, secure, high-performance More ❯

Azure Data Engineer/Consultant – Up to £75K + Bonus Location: Remote (UK-based, with very occasional travel) Salary: Up to £75,000 + bonus Company & role Join one of the UK’s most advanced Microsoft partners, specialising in Azure-led Data & AI solutions. This consultancy is known … deliver impactful solutions across enterprise clients, leveraging the very latest in Microsoft technology. Why This Role Stands Out Play a key role in shaping Azure data strategies for enterprise clients Join a pioneering team adopting Fabric, Synapse, and Databricks in production Be part of a community of thought … the opportunity to share ideas and influence outcomes Home-based flexibility with a focus on work-life balance Key Responsibilities Design and deliver robust Azure data solutions across strategy, ETL, analytics, and AI Lead client workshops and translate business needs into technical design Build scalable, secure, high-performance More ❯

insights that drive decision-making. Data Modelling & Analysis : Design, develop, and maintain scalable data models to ensure data quality and accuracy, utilising SQL and Azure Synapse where necessary. Dashboard Development: Build and maintain visually compelling and interactive dashboards in Tableau Performance Monitoring & Reporting: Create detailed reports on portfolio … datasets from various sources into relevant data structures. Data Governance: Ensure data is consistent, reliable, and stored securely Continuous Improvement : Drive process improvements in analytics, reporting, and stakeholder communication. Key skills required; Experience working in a similar role, preferably in Financial Services sector Excellent SQL skills including writing complex More ❯

insights that drive decision-making. Data Modelling & Analysis : Design, develop, and maintain scalable data models to ensure data quality and accuracy, utilising SQL and Azure Synapse where necessary. Dashboard Development: Build and maintain visually compelling and interactive dashboards in Tableau Performance Monitoring & Reporting: Create detailed reports on portfolio … datasets from various sources into relevant data structures. Data Governance: Ensure data is consistent, reliable, and stored securely Continuous Improvement : Drive process improvements in analytics, reporting, and stakeholder communication. Key skills required; Experience working in a similar role, preferably in Financial Services sector Excellent SQL skills including writing complex More ❯

Our team here at MRJ is delighted to bring to market a brand-new opportunity. ROLE: Head of Data (Analytics & Engineering) This expanding group (4000+ employees) continues to defy their market with sustained growth and has recently embarked on a buy and build strategy following a major investment round … on insights, automation, and making things work smarter. Head of Data – Key Responsibilities: Defining & Delivering Data Products: Lead the development of enterprise-level data & analytics products, ensuring strategic alignment with business goals. Technical Oversight: Provide expertise in data lakes, reporting platforms (e.g. PowerBI), and modern data engineering principles within … a Microsoft Azure environment. Product Leadership: Own the roadmap, performance, and improvement of both new and existing data services. Collaboration: Work cross-functionally with technology teams (digital product, infrastructure, etc.) to ensure seamless deployment and optimisation. Leadership & Mentoring: Inspire and develop a team of data specialists, supporting growth through More ❯

Our team here at MRJ is delighted to bring to market a brand-new opportunity. ROLE: Head of Data (Analytics & Engineering) This expanding group (4000+ employees) continues to defy their market with sustained growth and has recently embarked on a buy and build strategy following a major investment round … on insights, automation, and making things work smarter. Head of Data – Key Responsibilities: Defining & Delivering Data Products: Lead the development of enterprise-level data & analytics products, ensuring strategic alignment with business goals. Technical Oversight: Provide expertise in data lakes, reporting platforms (e.g. PowerBI), and modern data engineering principles within … a Microsoft Azure environment. Product Leadership: Own the roadmap, performance, and improvement of both new and existing data services. Collaboration: Work cross-functionally with technology teams (digital product, infrastructure, etc.) to ensure seamless deployment and optimisation. Leadership & Mentoring: Inspire and develop a team of data specialists, supporting growth through More ❯

technologies. As part of this role, you will be responsible for some of the following areas • Design and develop scalable data pipelines to support analytics and operational reporting. • Build and maintain ETL/ELT processes to ingest, transform, and store data from various sources. • Collaborate with clients including both … have • Solid experience designing and delivering data solutions focused on Databricks • Strong ETL experience with tools such as ADF or SSIS • Experience working with Azure technologies – Synapse, Fabric, Data Lake • Knowledge of data architecture principles and data modelling What is on offer? • Starting salary of up to More ❯

technologies. As part of this role, you will be responsible for some of the following areas • Design and develop scalable data pipelines to support analytics and operational reporting. • Build and maintain ETL/ELT processes to ingest, transform, and store data from various sources. • Collaborate with clients including both … have • Solid experience designing and delivering data solutions focused on Databricks • Strong ETL experience with tools such as ADF or SSIS • Experience working with Azure technologies – Synapse, Fabric, Data Lake • Knowledge of data architecture principles and data modelling What is on offer? • Starting salary of up to More ❯

Job Title: Solutions Architect (Data Analytics)-Pre-sales, RFP creation Location: London (3days/week onsite) Duration: Permanent Responsibilities: 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP … Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/… minimum of 5 years’ experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/ More ❯

Job Title: Solutions Architect (Data Analytics)-Pre-sales, RFP creation Location: London (3days/week onsite) Duration: Permanent Responsibilities: 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP … Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/… minimum of 5 years’ experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/ More ❯

grasp of financial principles, terminology, and common reporting requirements. Excellent communication skills with the ability to work across business and technical teams. Familiarity with Azure Data Lake, Synapse, or similar tools (desirable but not essential). Experience Needed to Fulfil the Role: Multiple years’ experience delivering Power BI More ❯

grasp of financial principles, terminology, and common reporting requirements. Excellent communication skills with the ability to work across business and technical teams. Familiarity with Azure Data Lake, Synapse, or similar tools (desirable but not essential). Experience Needed to Fulfil the Role: Multiple years’ experience delivering Power BI More ❯

Engineer. The post holder will plan for, supervise and support the management and continuous development of the Trust's on-premise, Private cloud and Azure public cloud SQL data warehousing environment. Expertise within the Microsoft data stack is expected. Part of this stack includes but is not limited to … reference number. Person Specification Education, Qualifications & Training Essential Evidence of continuous professional development in data engineering, cloud platforms, or leadership Industry certifications (e.g. Microsoft Azure Data Engineer, Databricks Certified Data Engineer) Desirable Degree in Computer Science, Data Engineering, Information Systems or related discipline PRINCE2, Agile Project Management or similar … pipelines using T-SQL, SSIS or similar Experience leading, mentoring or line managing data engineering/technical teams Experience with cloud data platforms (e.g. Azure Data Factory, Synapse) Desirable Experience writing business cases, budget planning and options appraisals Familiarity with NHS datasets or healthcare informatics Experience managing third More ❯

Data Warehouse Manager. The role will be hands on in the management and continuous development of the Trust's on-premise, Private cloud and Azure public cloud SQL data warehousing environment. Main duties of the job The use of Microsoft tools within the data stack will be common. These … contact us on bht.recruitment@nhs.net quoting the vacancy reference number. Person Specification Education, Qualifications & Training Essential Evidence of continuous professional development Industry certifications (Microsoft Azure Data Engineer, Databricks Certified Data Engineer) Desirable Degree in Computer Science, Data Engineering, Information Systems or related discipline Experience Essential Hands-on experience developing … raw datasets into analysis-ready structures Experience managing and governing access to SQL Server and SQL Databases Desirable Exposure to cloud data tools (e.g. Azure Data Factory, Synapse) Experience working with APIs or Integration Engines Experience with NHS Commissioning and income processing Disclosure and Barring Service Check This More ❯