26 to 50 of 77 Remote Azure Synapse Analytics Jobs

Azure Data Engineer UK Remote (with occasional travel) This is an exciting Senior Data Engineering rolewith one of the UKs fastest-growing AI and Data transformation partners. In return for an exceptional package, flexible work and remote-first, you will get the chance to play a key role in the development of Azure data platforms for the leading … depending on experience. This role would see you immersed in the very latest and best of cloud-first, data-engineering and data-architecture. We really need an Azure expert who lives and breathes the Microsoft data ecosystem, covering tools like Data Factory, Data Blocks, Azure SQL, and much more. The Data & AI arm of this organisation is seeing … exceptional growth, with a number of high-profile projects kicking off. As one of the principal owners of their MS Azure data strategy and architecture, you would be responsible for: The build of cloud-based data platforms incorporating the full Azure data stack ETL Pipelines Data Modelling (Logical, Physical, Conceptual) Data Mapping The skills we are looking for More ❯

Azure Data Engineer UK Remote (with occasional travel) This is an exciting Senior Data Engineering rolewith one of the UKs fastest-growing AI and Data transformation partners. In return for an exceptional package, flexible work and remote-first, you will get the chance to play a key role in the development of Azure data platforms for the leading … depending on experience. This role would see you immersed in the very latest and best of cloud-first, data-engineering and data-architecture. We really need an Azure expert who lives and breathes the Microsoft data ecosystem, covering tools like Data Factory, Data Blocks, Azure SQL, and much more. The Data & AI arm of this organisation is seeing … exceptional growth, with a number of high-profile projects kicking off. As one of the principal owners of their MS Azure data strategy and architecture, you would be responsible for: The build of cloud-based data platforms incorporating the full Azure data stack ETL Pipelines Data Modelling (Logical, Physical, Conceptual) Data Mapping The skills we are looking for More ❯

Data Architect Job Description PRISM is seeking a strategic and technically adept Data Architect to drive enterprise analytics initiatives using the Microsoft data ecosystem. This role blends hands-on data science with leadership responsibilities, guiding a team in delivering scalable, secure, and actionable insights through tools like SQL Server, SSIS, Power BI, and Active Directory. The successful candidate will … lifecycle management. Communicate insights through compelling visualizations and executive-ready storytelling. Qualifications Required Skills & Qualifications: Must have a Bachelor's degree and 5+ years of experience in data science, analytics, or business intelligence. Prefer technical lead or team lead experience. Deep expertise in SQL Server, SSIS, and Power BI. Strong understanding of Active Directory for role-based access control. … Ability to architect end-to-end data solutions and guide technical direction for complex data schemas. Experience with Azure Data Factory and Microsoft Fabric for cloud-based data orchestration. Excellent communication skills for stakeholder engagement and executive presentations. Bachelor's or Master's degree in Data Science, Computer Science, or a related field. Nice to Have: Familiarity with Azure More ❯

Architect at Associate Director level to join our Dublin Data & AI team. We are looking for professionals with extensive experience in designing modern, scalable data platforms and cutting-edge analytics & AI solutions, coupled with strong industry experience and exceptional communication skills, who are dedicated to becoming thought leaders in their field. Location : Dublin, as part of our hybrid working … Contract type : Permanent Key Qualifications and Experience We ideally need you to have most of the following on your CV: 7+ years' experience in designing and implementing modern data, analytics, and AI programs, with a focus on scalable, cloud-native solutions for large, complex organisations. Expertise in architecting data platforms , including data lakes, data lakehouses, data meshes , and real … time streaming architectures, to support advanced analytics, AI, and business intelligence use cases. Proven experience in designing architectures for structured, semi-structured, and unstructured data , leveraging technologies like Databricks, Snowflake, Apache Kafka , and Delta Lake to enable seamless data processing and analytics. Hands-on experience in data integration , including designing and optimising data pipelines (batch and streaming) and integrating More ❯

data integrity and GDPR compliance To be successful in the role you will have Hands-on coding experience with Python or PySpark Proven expertise in building data pipelines using Azure Data Factory or Fabric Pipelines Solid experience with Azure technologies like Lakehouse Architecture, Data Lake, Delta Lake, and Azure Synapse Strong command of SQL Excellent communication More ❯

data integrity and GDPR compliance To be successful in the role you will have Hands-on coding experience with Python or PySpark Proven expertise in building data pipelines using Azure Data Factory or Fabric Pipelines Solid experience with Azure technologies like Lakehouse Architecture, Data Lake, Delta Lake, and Azure Synapse Strong command of SQL Excellent communication More ❯

/CTO/CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure … leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with a strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C … level presentations, and shaping winning solutions. Cloud Knowledge: Proven expertise in Azure, AWS, or GCP, with hands-on experience in cloud-native architecture and modernisation. Banking Domain: Essential knowledge of retail, commercial, or investment banking, including regulatory and finance transformation. Transformation Delivery: Demonstrated success in designing solutions that deliver tangible business change. Leadership & Gravitas: Ability to establish credibility quickly More ❯

/CTO/CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure … leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with a strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C … level presentations, and shaping winning solutions. Cloud Knowledge: Proven expertise in Azure, AWS, or GCP, with hands-on experience in cloud-native architecture and modernisation. Banking Domain: Essential knowledge of retail, commercial, or investment banking, including regulatory and finance transformation. Transformation Delivery: Demonstrated success in designing solutions that deliver tangible business change. Leadership & Gravitas: Ability to establish credibility quickly More ❯

/CTO/CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure … leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with a strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C … level presentations, and shaping winning solutions. Cloud Knowledge: Proven expertise in Azure, AWS, or GCP, with hands-on experience in cloud-native architecture and modernisation. Banking Domain: Essential knowledge of retail, commercial, or investment banking, including regulatory and finance transformation. Transformation Delivery: Demonstrated success in designing solutions that deliver tangible business change. Leadership & Gravitas: Ability to establish credibility quickly More ❯

/CTO/CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure … leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with a strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C … level presentations, and shaping winning solutions. Cloud Knowledge: Proven expertise in Azure, AWS, or GCP, with hands-on experience in cloud-native architecture and modernisation. Banking Domain: Essential knowledge of retail, commercial, or investment banking, including regulatory and finance transformation. Transformation Delivery: Demonstrated success in designing solutions that deliver tangible business change. Leadership & Gravitas: Ability to establish credibility quickly More ❯

/CTO/CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure … leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with a strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C … level presentations, and shaping winning solutions. Cloud Knowledge: Proven expertise in Azure, AWS, or GCP, with hands-on experience in cloud-native architecture and modernisation. Banking Domain: Essential knowledge of retail, commercial, or investment banking, including regulatory and finance transformation. Transformation Delivery: Demonstrated success in designing solutions that deliver tangible business change. Leadership & Gravitas: Ability to establish credibility quickly More ❯

Success, Solution Architecture, or Consulting Experience with Python for scripting and automationPreferred Qualifications Experience integrating or managing Software-as-a-Service (SaaS) applications and enterprise systems (ERP, EPM, Data & Analytics like Oracle, Workday, SAP, Snowflake, Power BI) Expertise in various data structures, schemas, and modern data architectures (Snowflake, Databricks, BigQuery, Redshift, Azure Synapse), with the ability to More ❯

week on site)We're looking for an experienced Senior Data Engineer to join our team and lead the delivery of advanced Business Intelligence solutions using the latest Microsoft Azure technologies.Our client is a forward-thinking organisation that thrives on innovation, data-driven insights, and excellence. Their Data Analytics Team is at the forefront of driving commercial success … You'll work across data sources including Microsoft Dynamics, in-house systems, and third-party platforms leveraging the latest Microsoft technologies.Key Responsibilities: Deliver end-to-end BI solutions using Azure Synapse, ADF, and Power BI (Datasets & Reports) Design and implement scalable data models and architectures Develop robust pipelines using SQL, Python (PySpark), and ideally other OOP languages Manage … O, or Field Services as data sources Exposure to Power Apps design and delivery If you're a technically strong, delivery-focused data professional with a passion for modern Azure-based BI solutions, we'd love to hear from you. More ❯

Databricks SME who is passionate about turning complex data into actionable solutions that improve public systems and services. This role supports an enterprise initiative focused on platform infrastructure and analytics modernization for a federal customer. You'll be joining a cross-functional team of full stack developers, data engineers, and data analysts working within a modular, cloud-native platform … scalable, and efficient data exchange between federal client and external data sharing partners using Databricks Delta Sharing. Support the design and development of data pipelines and ETL routines in Azure Cloud environment for many source system types including RDBMS, API, and unstructured data using CDC, incremental, and batch loading techniques. Conduct data profiling, transformation, and quality assurance on structured … semi-structured, and unstructured data. Identify underlying issues and translate them into technical requirements. Assist in building and optimizing data lakes, feature stores, and data warehouse structures to support analytics and machine learning. Prepare, structure, and validate data for data science and MLOps workflows, ensuring it meets the quality and format requirements for modeling. Help monitor and maintain the More ❯

roles. • Strong coding skills in Python, SQL, and at least one ETL framework (Airflow, dbt, etc.). • Hands-on experience with cloud data platforms (AWS Glue, Redshift, GCP BigQuery, Azure Synapse, etc.). • Solid understanding of data warehousing, partitioning, schema design, and optimization. • Familiarity with streaming technologies like Kafka or Spark Streaming. • Strong problem-solving, debugging, and communication More ❯

migrating legacy SQL Server warehouses into Azure. You will play a key role in shaping the new cloud data platform. Responsibilities: Build and optimise ETL/ELT pipelines with Azure Data Factory, Synapse, and SQL Database. Lead the migration of on-premises SQL Server/SSIS workloads into Azure. Design data lakes, marts, and models to support analytics and reporting. Integrate external sources including Google Cloud Platform. Drive data governance with tools like Azure Purview. Collaborate with architects, BI teams, and stakeholders to ensure seamless data access. Apply DevOps (ADO, GitHub) and Agile practices for delivery. Key skills & experience: Strong experience with SQL Server, T-SQL, and SSIS. Hands-on with Azure SQL, Data Factory … Synapse, and Data Lake. Track record in data warehouse development and cloud migrations. Proficient with Azure DevOps/GitHub. Strong problem-solving and documentation skills. Python for automation (desirable) Knowledge of Microsoft Fabric & Azure Purview (desirable) Exposure to GCP (desirable) NHS experience (desirable) Contract Overview Role: Data Engineer Duration: 3-month contract IR35: Inside IR35 Rate More ❯

migrating legacy SQL Server warehouses into Azure. You will play a key role in shaping the new cloud data platform. Responsibilities: Build and optimise ETL/ELT pipelines with Azure Data Factory, Synapse, and SQL Database. Lead the migration of on-premises SQL Server/SSIS workloads into Azure. Design data lakes, marts, and models to support analytics and reporting. Integrate external sources including Google Cloud Platform. Drive data governance with tools like Azure Purview. Collaborate with architects, BI teams, and stakeholders to ensure seamless data access. Apply DevOps (ADO, GitHub) and Agile practices for delivery. Key skills & experience: Strong experience with SQL Server, T-SQL, and SSIS. Hands-on with Azure SQL, Data Factory … Synapse, and Data Lake. Track record in data warehouse development and cloud migrations. Proficient with Azure DevOps/GitHub. Strong problem-solving and documentation skills. Python for automation (desirable) Knowledge of Microsoft Fabric & Azure Purview (desirable) Exposure to GCP (desirable) NHS experience (desirable) Contract Overview Role: Data Engineer Duration: 3-month contract IR35: Inside IR35 Rate More ❯

support their strategic goals, ensuring system resilience and performance, and building secure, scalable database architectures. Key Responsibilities of a Senior Database Developer: Design and maintain robust database solutions across Azure VM and Cloud environments. Develop and support MI and DWH systems using Azure Synapse/Sharedo and related tools. Enforce best practices in SQL development and source … and audit compliance. Collaborate across departments to deliver and support production systems. Key Skills and Experience of a Senior Database Developer Strong expertise in SQL Server Management Studio, SSIS, Azure Data Factory, and Visual Studio. Solid experience with DWH, SSRS, Power BI, Git repositories. Proven ability to manage secure, high-performance database environments. Excellent communication and cross-functional collaboration More ❯

tables and views, ensuring data integrity, and uncovering insights that drive strategic decisions. You'll collaborate with the architecture team to understand data flows and help shape reporting and analytics processes. This is a technically-focused role, with a strong emphasis on SQL and Power BI. You'll investigate the source of data faults, develop solutions to complex problems … complex datasets. Proficiency in Power BI (or similar BI tools such as Tableau) and understanding of data visualisation principles. Experience in data warehousing, data lakes, or Microsoft Stack environments; Azure Synapse knowledge is a plus. Ability to translate business requirements into technical solutions and collaborate effectively in a team setting. Contract Details: Permanent position Remote-first (UK-based More ❯

usability in CLI tools, SDKs, and client integrations (e.g., JDBC, SnowSQL, 3rd part integrations). Design and implement support for additional data platform features, services, and cloud providers (e.g. Azure Synapse, BigQuery). Track cloud service evolution and update emulators to reflect new capabilities or changes. Build abstractions that make it easy to plug in new service behaviour … orchestration and infrastructure-as-code tools (e.g., dbt, Terraform, Airflow, CDKs). Gather and act on feedback from internal and external teams to prioritize high-impact integrations. Build usage analytics and telemetry to understand adoption patterns and developer needs. Maintain high code quality, clear architecture, and extensibility to support contributions and experimentation. Experience we expect you to bring to … Docker-based development environments (Docker & Docker Compose), containerized services for local testing, and container networking; Kubernetes experience is a plus. Experience with at least one major public cloud (AWS, Azure, or GCP), ideally working with big data or database services. Strong programming skills in Python (Java a plus); familiarity with TypeScript or Go is (nice to have.) Experience contributing More ❯

deliverables with overall project timelines. Required Skills & Experience: * Proven experience as a Business Analyst in infrastructure and/or network domains. * Strong understanding of enterprise networking, cloud platforms (e.g., Azure, AWS), and data center operations. * Familiarity with data warehouse technologies and architectures (e.g., Snowflake, Teradata, Azure Synapse). * Experience in documenting technical requirements, process flows, and system More ❯

ethos. This is a fantastic opportunity to join a high-performing agile team where your strengths will be recognised and nurtured. You'll be hands-on with cutting-edge Azure technologies, helping clients unlock the full potential of their data. Work Style: Remote-first with occasional travel to client sites and company events Location: UK-based Employment Type: Permanent … full lifecycle data solutions: acquisition, engineering, modelling, analysis, and visualisation Leading client workshops and translating business needs into technical solutions Designing and implementing scalable ETL/ELT pipelines using Azure tools (Fabric, Databricks, Synapse, Data Factory) Building data lakes with medallion architecture Migrating legacy on-prem data systems to the cloud Creating impactful dashboards and reports using Power … BI Supporting and evolving data solutions post-deployment Requirements: Proven experience in Data Engineering or Data Warehouse Development Strong hands-on skills with Azure data tools and SQL/Python Knowledge of medallion lakehouse design and large-scale data integration Experience with Power BI, SSIS, SSAS, SSRS, and data modelling Ability to write complex queries, stored procedures, and notebooks More ❯

ethos. This is a fantastic opportunity to join a high-performing agile team where your strengths will be recognised and nurtured. You'll be hands-on with cutting-edge Azure technologies, helping clients unlock the full potential of their data. Work Style: Remote-first with occasional travel to client sites and company events Location: UK-based Employment Type: Permanent … full lifecycle data solutions: acquisition, engineering, modelling, analysis, and visualisation Leading client workshops and translating business needs into technical solutions Designing and implementing scalable ETL/ELT pipelines using Azure tools (Fabric, Databricks, Synapse, Data Factory) Building data lakes with medallion architecture Migrating legacy on-prem data systems to the cloud Creating impactful dashboards and reports using Power … BI Supporting and evolving data solutions post-deployment Requirements: Proven experience in Data Engineering or Data Warehouse Development Strong hands-on skills with Azure data tools and SQL/Python Knowledge of medallion lakehouse design and large-scale data integration Experience with Power BI, SSIS, SSAS, SSRS, and data modelling Ability to write complex queries, stored procedures, and notebooks More ❯

ethos. This is a fantastic opportunity to join a high-performing agile team where your strengths will be recognised and nurtured. You'll be hands-on with cutting-edge Azure technologies, helping clients unlock the full potential of their data. Work Style: Remote-first with occasional travel to client sites and company events Location: UK-based Employment Type: Permanent … full lifecycle data solutions: acquisition, engineering, modelling, analysis, and visualisation Leading client workshops and translating business needs into technical solutions Designing and implementing scalable ETL/ELT pipelines using Azure tools (Fabric, Databricks, Synapse, Data Factory) Building data lakes with medallion architecture Migrating legacy on-prem data systems to the cloud Creating impactful dashboards and reports using Power … BI Supporting and evolving data solutions post-deployment Requirements: Proven experience in Data Engineering or Data Warehouse Development Strong hands-on skills with Azure data tools and SQL/Python Knowledge of medallion lakehouse design and large-scale data integration Experience with Power BI, SSIS, SSAS, SSRS, and data modelling Ability to write complex queries, stored procedures, and notebooks More ❯

ethos. This is a fantastic opportunity to join a high-performing agile team where your strengths will be recognised and nurtured. You'll be hands-on with cutting-edge Azure technologies, helping clients unlock the full potential of their data. Work Style: Remote-first with occasional travel to client sites and company events Location: UK-based Employment Type: Permanent … full lifecycle data solutions: acquisition, engineering, modelling, analysis, and visualisation Leading client workshops and translating business needs into technical solutions Designing and implementing scalable ETL/ELT pipelines using Azure tools (Fabric, Databricks, Synapse, Data Factory) Building data lakes with medallion architecture Migrating legacy on-prem data systems to the cloud Creating impactful dashboards and reports using Power … BI Supporting and evolving data solutions post-deployment Requirements: Proven experience in Data Engineering or Data Warehouse Development Strong hands-on skills with Azure data tools and SQL/Python Knowledge of medallion lakehouse design and large-scale data integration Experience with Power BI, SSIS, SSAS, SSRS, and data modelling Ability to write complex queries, stored procedures, and notebooks More ❯