101 to 125 of 162 Permanent Azure Synapse Analytics Jobs

Engineer Location: 3 Days p/w Central London Rate: £450 Outside IR35 Duration: 6 Months + Extensions This role is responsible for migrating and developing modern data and analytics solutions using Microsoft Fabric and Azure technologies. The position supports enterprise-wide BI initiatives, delivering data models, pipelines, dashboards and reporting assets that enable data-driven decision-making. … Key Responsibilities Lead and implement data migration into Microsoft Fabric for analytics and reporting use cases Design and build data models from multiple sources to generate actionable insights Maintain and optimise data warehouse platforms; identify and resolve issues Develop data pipelines using Fabric Pipelines, Azure Data Factory, Notebooks and SSIS Produce enterprise-grade Power BI dashboards and paginated … reports Translate business requirements into scalable technical BI solutions Write advanced SQL for Fabric Lakehouse and Warehouse environments Implement CI/CD processes using Azure DevOps for secure, reliable deployment Technical Skills: Strong expertise in: Power BI and paginated reporting SQL and data architecture Dimensional modelling (star schema, snowflake, denormalised structures, SCD handling) DAX, Visual Studio and data transformation 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 ❯

technical proficiency with Microsoft SQL including working with SSIS & SSRS, Python & cloud native data tools Experience working with Microsoft SQL and file data storage in cloud environments, preferably Microsoft Azure Exposure to Azure DevOps and SQL release pipelines, including an understanding of software development lifecycle An understanding of encryption and handling of cryptography artefacts Overall 3+ years' experience … working in an application support/data engineering role Foundational experience writing automation in PowerShell Experience with Azure Synapse or Microsoft Fabric would be advantageous You have: Great at problem solving with a key attention to detail Capable of multi-tasking and prioritising within a fast-paced environment Able to pick up new skills and concepts quickly Other More ❯

through optimisation strategies and cost governance models Requirements & Qualifications: Substantial architecture experience serving regulated industries such as professional services, financial institutions, or compliance-driven sectors Expert-level understanding of Azure capabilities, including foundation architecture, infrastructure patterns, and platform services Deep knowledge of Microsoft identity platforms (Entra ID), authentication frameworks, and collaboration suite administration Demonstrated success with information architecture, including … governance models, data quality initiatives, and cross-system integration challenges Strong working knowledge of Microsoft analytics ecosystems (examples: Synapse Analytics, Fabric, Data Factory, BI platforms) Track record engaging C-level audiences and converting technical strategies into business outcomes Understanding of compliance obligations and operational risk in regulated environments Preferred: Professional credentials in cloud architecture, data engineering, or More ❯

pipelines that underpin our investment data products. These products are central to many of the initiatives within the Tribe and are used across the organisation to support portfolio management, analytics, and regulatory reporting. As such, we are looking for engineers who can hit the ground running - with the ability to quickly understand investment data, navigate complex data flows, and … Responsibilities Design, develop, and maintain robust, scalable data pipelines and services that support investment data products and reporting platforms. Build and optimise data integration workflows using tools such as Azure Data Factory, Synapse Pipelines, and SQL/T-SQL, ensuring data quality, performance, and reliability. Contribute to the evolution of our cloud-native data architecture, leveraging Azure Databricks, Azure Data Lake, and Snowflake where appropriate. Apply strong data modelling and transformation skills to support analytics, regulatory reporting, and operational use cases. Promote and implement engineering best practices, including test automation, unit testing, and CI/CD pipelines. Support data governance and metadata management initiatives to ensure data integrity and compliance. Explore and apply AI 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 ❯

/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 ❯

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 ❯

continuing education and initial training for new users across the company Your Qualifications: Bachelor's degree or equivalent combination of education/experience required Master's degree in data analytics, statistics, or data science helpful 5+ years' experience with business intelligence methods and tools required (Power BI, Tableau or similar) Strong experience with tabular/semantic model design for … Services/Power BI Intermediate to advanced data analysis, and analytical thinking skills Advanced knowledge in programming languages such as SQL, R, DAX/MDX, or Python Experience with Azure Synapse, or equivalent cloud database technology If you have the qualifications described and are interested in this exciting opportunity, please apply as soon as possible! Ranked a Top 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 ❯

position is ideal for candidates from a consultant background. Required Skills & Experience: 1. At least 5+ years in data engineering, with hands-on experience with tools such as Guidewire, Azure, and Databricks. 2. Familiarity with data lakes, Python programming, and deploying to Databricks. 3. Full scope property & casualty insurance experience, including data management and analysis specific to this sector. 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 ❯

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 ❯

will be hybrid 2 days a week onsite: Branchville, NJ Charlotte, NC Hartford, CT Duration: 12+ months contract Generic Job Description: Sr. Data Engineer to work on data and analytics projects supporting the Underwriting team within the Information Management group. This group is responsible for technology support of all Data Engineering, Analytics and Reporting for the Commercial Lines … trends and explore opportunities for use within the organization Knowledge and Requirements: Five to seven years of experience in Data Warehousing, Data integration or Data Engineering projects Experience in Azure Databricks ,Informatica Powercenter, IICS, Cognos, Netezza Performance servers Experience working within Azure ecosystem Experienced in any of these analytical platforms - PowerBI, AzureML, Databricks or Synapse Proficient in … SQL Experience using Python or Scala. Experience in Azure DevOps and Github is preferred Ability to effectively work well with people in other departments and/or outside of the enterprise. P&C Insurance experience is preferred Possesses excellent communication skills. Bachelors degree in computer science or related engineering field preferred. 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 ❯