76 to 100 of 123 Azure Synapse Analytics Jobs in England

UK company as a Senior Data Engineer and play a key role in a major data transformation project. You will have the opportunity to design and deliver a new Azure-based data platform, modernising the organisation's data management and reporting processes. This hands-on role offers architectural influence and is ideal for an experienced engineer with a strong … background in setting up new environments, creating data pipelines, and enabling self-service analytics through Power BI. Key Responsibilities: Design, build, and maintain Azure data pipelines using Azure Data Factory, Synapse, or Fabric. Implement a data lakehouse architecture (Bronze/Silver/Gold) and establish best-practise ETL/ELT frameworks. Ingest and integrate data from … solutions. Monitor, troubleshoot, and optimise data pipelines for performance and cost efficiency. Define reusable components, standards, and documentation to support long-term scalability. Essential Skills & Experience: Proven experience building Azure data platforms end-to-end (Data Factory, Synapse, Fabric, or Databricks). Strong SQL development and data modelling capability. Experience integrating ERP or legacy systems into cloud data More ❯

UK company as a Senior Data Engineer and play a key role in a major data transformation project. You will have the opportunity to design and deliver a new Azure-based data platform, modernising the organisation's data management and reporting processes. This hands-on role offers architectural influence and is ideal for an experienced engineer with a strong … background in setting up new environments, creating data pipelines, and enabling self-service analytics through Power BI. Key Responsibilities: Design, build, and maintain Azure data pipelines using Azure Data Factory, Synapse, or Fabric. Implement a data lakehouse architecture (Bronze/Silver/Gold) and establish best-practise ETL/ELT frameworks. Ingest and integrate data from … solutions. Monitor, troubleshoot, and optimise data pipelines for performance and cost efficiency. Define reusable components, standards, and documentation to support long-term scalability. Essential Skills & Experience: Proven experience building Azure data platforms end-to-end (Data Factory, Synapse, Fabric, or Databricks). Strong SQL development and data modelling capability. Experience integrating ERP or legacy systems into cloud data More ❯

Overview Methods Analytics (MA) is recruiting for a Data Architect to join our team on a permanent basis. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. What You'll Be Doing as a Data Architect Advocate the business benefit of data standards, championing and … data engineers, software engineers, data scientists, and business stakeholders Your Impact Enable transformative business decisions through robust, scalable data architectures Drive adoption of modern data platforms and AI-enabled analytics solutions Establish technical standards and architectural patterns that ensure quality, security, and maintainability Help cultivate a data-driven culture within client organisations and internally Deliver architectures that seamlessly integrate … traditional and modern data systems You Will Demonstrate Deep knowledge of the Azure data stack (Azure SQL Server, CosmosDB, Azure Data Factory, Purview, Synapse, Event Hub, Azure Databricks/Fabric) Extensive data modelling experience: both normalised relational models and de-normalised Star Schema/dimensional models Excellent relational database design skills with expertise in diagnosing More ❯

Data Engineer (Azure, Snowflake, DBT) | Insurance | London (Hybrid) Robert Half International (an S&P 500 global staffing provider) is supporting a global consulting firm in sourcing an experienced Data Engineer to join a major insurance client engagement.The role focuses on building out a Snowflake Data Warehouse established last year and scaling it to support multiple new data use cases … and operational use cases. The team is looking for an experienced engineer with strong technical depth and an insurance background, capable of owning and extending core pipelines across the Azure and Snowflake stack. Key Skills & Experience Strong hands-on experience with Snowflake Cloud Data Warehouse (schemas, RBAC, performance tuning, ELT best practices). Proven commercial experience with DBT for … modular data modelling, testing, documentation, and CI/CD integration. Skilled in Azure Data Factory, Synapse, and Databricks for end-to-end data pipeline orchestration. Excellent SQL engineering capability; experience designing data models for analytics and operational reporting. Proven track record in the insurance or wider financial services sector , ideally with large dataset experience. Experience working in 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 ❯

Head of Data Engineering - Azure & Databricks - Hybrid - Up to £100,000 A forward-thinking and nationally recognised organisation, known for its commitment to innovation and data-driven decision-making, is seeking a Head of Data Engineering to lead its growing data function. With a strong culture of collaboration, investment in cutting-edge technology, and a clear roadmap for digital … with flexibility around location. Key Responsibilities: Lead and mentor a team of data engineers, fostering a culture of innovation and excellence. Architect and implement scalable data solutions using the Azure tech stack and Databricks. Collaborate with cross-functional teams to align data initiatives with business goals. Maintain hands-on involvement in technical delivery where needed, ensuring best practices are … followed. Requirements: Proven experience in leading data engineering teams. Strong expertise in Azure Data Services (e.g., Data Factory, Synapse, Azure Datalake) and Databricks. Comfortable balancing strategic leadership with occasional hands-on technical work. Excellent stakeholder management and communication skills. What's on Offer: Competitive salary up to £100,000. Hybrid working model - 2 days in-office per More ❯

a hybrid working basis Working hours: 37.5 hours per week, Monday to Friday, 9am to 5:30pm What you will be doing: 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 … data security, access control, and audit compliance Collaborate across departments to deliver and support production systems What we are looking for: Strong expertise in SQL Server Management Studio, SSIS, Azure Data Factory, 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 skills More ❯

Following the acquisition of Brookson by People2.0, the responsibilities of the Data and Analytics team have significantly expanded. We are now seeking a skilled Data Engineer to join our dynamic team. As a Data Engineer within the Data and Analytics team, you will play a pivotal role in designing, maintaining, and optimising the data architecture for People2.0 Group. … from various regions, including EMEA, US, and APAC, ensuring that the architecture aligns with regional and global requirements. Reporting directly to the Senior Data Engineer within the Data and Analytics team, you will work alongside internal and external stakeholders, depending on project requirements. Your ability to communicate effectively and adapt to different regions and business needs will be key … data sources for business end users. This includes analytical base tables for MI, operational metrics for data integrity, Develop Native Databases: Working with the business and/or the Analytics team to build bespoke and native applications that require database structures. This includes designing, optimising and promoting it through the Development process. Improve Data Literacy: Work with the Senior 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 ❯

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 ❯

Active - Enhanced DV Required* We’re looking for an experienced Data Architect with a strong background in designing and delivering modern data solutions to support advanced analytics and AI-driven initiatives. Key Responsibilities & Experience: Proven expertise in data architecture , including data modelling , analysis , transformation , migration , metadata , and master data management . Track record of delivering data analytics and … AI/ML-enabling solutions across complex environments. Hands-on experience with cloud data platforms , ideally AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR). Experience with Azure technologies (ADF, Synapse, Fabric, Azure Functions) is also valued. Strong understanding of modern data lakehouse architectures , such as Databricks , Snowflake , or Microsoft Fabric (highly desirable). Exposure to Palantir Foundry More ❯

Active - Enhanced DV Required* We’re looking for an experienced Data Architect with a strong background in designing and delivering modern data solutions to support advanced analytics and AI-driven initiatives. Key Responsibilities & Experience: Proven expertise in data architecture , including data modelling , analysis , transformation , migration , metadata , and master data management . Track record of delivering data analytics and … AI/ML-enabling solutions across complex environments. Hands-on experience with cloud data platforms , ideally AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR). Experience with Azure technologies (ADF, Synapse, Fabric, Azure Functions) is also valued. Strong understanding of modern data lakehouse architectures , such as Databricks , Snowflake , or Microsoft Fabric (highly desirable). Exposure to Palantir Foundry More ❯

seeking a BI Fabric Developer/Engineer to help transition its data platforms into Microsoft Fabric workspace. This is a unique opportunity to work on cutting-edge BI and analytics solutions that drive strategic decision-making across the business. Key Responsibilities Lead the migration of data platforms into Microsoft Fabric for enhanced reporting and stakeholder access. Design and maintain … data pipelines using Fabric Pipelines, Azure Data Factory, Notebooks and SSIS. Develop Power BI dashboards and paginated reports tailored to business needs. Model complex datasets into actionable insights using star schemas, snowflakes, and denormalised models. Optimise SQL queries and build semantic models within Fabric. Collaborate with cross-functional teams to translate business requirements into technical solutions. Support CI/… CD deployment processes using Azure DevOps. Required Skills & Experience Strong expertise in Power BI, DAX, SQL, and data architecture. Proven experience with Azure Data Factory, Fabric Lakehouse/Warehouse, and Synapse. Proficiency in PySpark, T-SQL, and data transformation using Notebooks. Familiarity with DevOps, ARM/Bicep templates, and semantic modelling. Experience delivering enterprise-scale BI/data More ❯

their customers are transformed through data and AI. The Role: We are seeking a Snowflake Data Engineer to lead the design, development and deployment of cloud data platforms and analytics solutions using Snowflake. This combines hands-on engineering, solution architecture and technical leadership. You will translate business requirements into scalable Snowflake solutions, guide project teams on best practices for … meet both functional and non-functional requirements such as scalability, security, reliability and cost optimisation Key Requirements & Technical Experience At least 3 years of experience in data engineering or analytics, including designing and delivering enterprise grade data solutions Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning … SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control More ❯

their customers are transformed through data and AI. The Role: We are seeking a Snowflake Data Engineer to lead the design, development and deployment of cloud data platforms and analytics solutions using Snowflake. This combines hands-on engineering, solution architecture and technical leadership. You will translate business requirements into scalable Snowflake solutions, guide project teams on best practices for … meet both functional and non-functional requirements such as scalability, security, reliability and cost optimisation Key Requirements & Technical Experience At least 3 years of experience in data engineering or analytics, including designing and delivering enterprise grade data solutions Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning … SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control More ❯

their customers are transformed through data and AI. The Role: We are seeking a Snowflake Data Engineer to lead the design, development and deployment of cloud data platforms and analytics solutions using Snowflake. This combines hands-on engineering, solution architecture and technical leadership. You will translate business requirements into scalable Snowflake solutions, guide project teams on best practices for … meet both functional and non-functional requirements such as scalability, security, reliability and cost optimisation Key Requirements & Technical Experience At least 3 years of experience in data engineering or analytics, including designing and delivering enterprise grade data solutions Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning … SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control More ❯

their customers are transformed through data and AI. The Role: We are seeking a Snowflake Data Engineer to lead the design, development and deployment of cloud data platforms and analytics solutions using Snowflake. This combines hands-on engineering, solution architecture and technical leadership. You will translate business requirements into scalable Snowflake solutions, guide project teams on best practices for … meet both functional and non-functional requirements such as scalability, security, reliability and cost optimisation Key Requirements & Technical Experience At least 3 years of experience in data engineering or analytics, including designing and delivering enterprise grade data solutions Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning … SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control More ❯

their customers are transformed through data and AI. The Role: We are seeking a Snowflake Data Engineer to lead the design, development and deployment of cloud data platforms and analytics solutions using Snowflake. This combines hands-on engineering, solution architecture and technical leadership. You will translate business requirements into scalable Snowflake solutions, guide project teams on best practices for … meet both functional and non-functional requirements such as scalability, security, reliability and cost optimisation Key Requirements & Technical Experience At least 3 years of experience in data engineering or analytics, including designing and delivering enterprise grade data solutions Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning … SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control More ❯

years in a technical lead role. Strong expertise in Databricks , PySpark , and Delta Lake . DBT Advanced proficiency in SQL, ETL/ELT pipelines, and data modelling. Experience with Azure Data Services (ADLS, ADF, Synapse) or other major cloud platforms (AWS/GCP). Strong knowledge of data warehousing , transformation logic , SLAs, and dependencies. Hands-on experience with … workflows. Knowledge of data security, encryption, and compliance frameworks (GDPR, SOC2, ISO ).good to have Excellent problem-solving skills, leadership ability, and communication skills. ________________________________________ Preferred Qualifications Certifications in Databricks, Azure good to have Experience with DBT , APIs, or ( BI integrations (Qlik, Power BI, Tableau).- good to have More ❯