1 to 25 of 297 Remote Azure Synapse Analytics Jobs

Role Overview: We are seeking a highly skilled and experienced Senior Azure Data Engineer to join our team. In this role, you will lead the design, development, and maintenance of scalable data solutions in Microsoft Azure. You will work closely with cross-functional teams to transform complex data into actionable insights, driving business decisions and innovation. This is a … which is based in Burton-on-Trent, Staffordshire. Key Responsibilities: Data Architecture and Design: Design, develop, and implement end-to-end data pipelines in Azure. Architect data solutions using Azure Data Lake, Azure Synapse Analytics, and Azure Databricks. Ensure solutions are scalable, efficient, and aligned with business objectives. ETL/ELT Processes: Build and optimize … ETL/ELT pipelines using Azure Data Factory (ADF). Develop data ingestion processes for structured and unstructured data sources. Data Modelling and Warehousing: Design and implement enterprise data models and data warehousing solutions. Optimize data models for performance and scalability in Azure environments. Data Governance and Security: Implement data governance best practices, ensuring data quality and consistency. More ❯

future growth and innovation of the company. Role: Senior Data Engineer and Platform Lead Location: Hybrid/Remote Position: Staff We are looking for a highly skilled and experienced Azure Data Engineer to join our dynamic Global Data & Analytics Platform team. The successful candidate will be responsible for delivering scalable data solutions on the Global Data Platform, managing … the platform, and driving its further development. This role requires proficiency in data engineering, data modelling, and data pipeline orchestration, with a proven track record of working with Azure-specific data platform tools and technologies. Strategic and forward-thinking capabilities, as well as experience in applying AI within a business data environment, are essential. Additionally, strong soft skills are … necessary to collaborate effectively with cross-functional international teams and communicate complex technical concepts to non-technical stakeholders. Responsibilities Role Description: Take ownership of the Azure-hosted analytical platform , ensuring it meets current and future business requirements. Optimize the platform for performance, security, and scalability, ensuring alignment with best practices. Design and develop scalable ETL pipelines and data solutions More ❯

And may also supervise other support staff members, along with serving as the liaison for external contractors or service providers. Role Accountabilities Responsible for owning the MI, BI and Analytics relationship and working closely with operational leaders to ensure all reporting meets the business requirements. Importantly, this role must ensure that these functions are carried out in line with …/Claims). Ensure that data is well-structured and of sufficient quality so that it can be leveraged to provide meaningful insights Help to define a data and analytics strategy which makes optimal use of business data according to industry best practice Utilise knowledge of insurance industry processes combined with the effective use of data to aid decision … Mapping skills, knowledge of Data Warehousing Concepts, and Logical Modelling Skills. Strong Business Analyst skills, including process mapping, requirements gathering,and stakeholder management Previous experience and good understanding of Azure data tools Proficient in Power BI Proven ability to motivate and influence small and/or large technical teams Experience of working to defined strategies and goals, taking ownership More ❯

Senior Data Engineer – Azure Platform Overview Amtis is proud to be recruiting for an exciting opportunity to join a forward-thinking data team. This role is ideal for a technically skilled and proactive data engineer passionate about building scalable, secure, and high-performing data solutions in Azure. You’ll play a key role in shaping the data strategy, enhancing … platform capabilities, and supporting business intelligence initiatives. Key Responsibilities Design and develop Azure data pipelines using Data Factory, Databricks, and related services. Implement and optimize ETL processes for performance, reliability, and cost-efficiency. Build scalable data models and support analytics and reporting needs. Design and maintain Azure-based data warehouses and data lakes. Ensure data governance, security … and compliance with GDPR and other regulations. Collaborate with cross-functional teams to gather requirements and deliver solutions. Manage Azure SQL databases, including performance tuning and monitoring. Monitor and maintain data infrastructure, resolving issues proactively. Document technical designs and share knowledge through training and code reviews. Contribute to big data analytics and machine learning initiatives. Continuously improve platform More ❯

Senior Data Engineer – Azure Platform Overview Amtis is proud to be recruiting for an exciting opportunity to join a forward-thinking data team. This role is ideal for a technically skilled and proactive data engineer passionate about building scalable, secure, and high-performing data solutions in Azure. You’ll play a key role in shaping the data strategy, enhancing … platform capabilities, and supporting business intelligence initiatives. Key Responsibilities Design and develop Azure data pipelines using Data Factory, Databricks, and related services. Implement and optimize ETL processes for performance, reliability, and cost-efficiency. Build scalable data models and support analytics and reporting needs. Design and maintain Azure-based data warehouses and data lakes. Ensure data governance, security … and compliance with GDPR and other regulations. Collaborate with cross-functional teams to gather requirements and deliver solutions. Manage Azure SQL databases, including performance tuning and monitoring. Monitor and maintain data infrastructure, resolving issues proactively. Document technical designs and share knowledge through training and code reviews. Contribute to big data analytics and machine learning initiatives. Continuously improve platform More ❯

afield, we’ll accept applications for remote workers! Core skills we’re looking for to succeed in the role: Data & Technology: You have a passion for all things data, analytics, and technology with experience of working with metadata driven pipelines Self-starter: You can triage workloads and act autonomously to achieve goals. Mentorship: You thrive as a role model … discrepancies. You’ll build solutions that pipe transform data into data lake storage areas, physical database models and reporting structures across data lake, data warehouse, business intelligence systems and analytics applications. You’ll build physical data models that are appropriately designed to meet business needs and optimise storage requirements, ensuring maximum re-use. You’ll carry out unit testing … extensive experience of developing and implementing end to end data solutions in the cloud preferably in Azure. Experience engineering with big data technologies such as Databricks and/or Synapse Analytics, using PySpark. Solution design experience across end-to-end data solutions (sourcing to consumption) Experience in Azure services such as Data Factory, Azure Functions, ADLS More ❯

including hands-on development and implementation of a robust strategy for transitioning datasets, ETL pipelines, and reporting solutions to the cloud. ETL & Pipeline Development: Build scalable ETL processes using Azure Data Factory, Azure Synapse, and other Fabric-native tools, ensuring a smooth integration between the on-prem and future cloud environments. Cloud Infrastructure Design: Design and implement … Azure-based data architecture, leveraging tools like Azure Data Lake, Azure Synapse Analytics, and Fabric’s data capabilities to future-proof the platform Azure Expertise: Utilize Azure tools such as Synapse Analytics, Logic Apps, and Azure Functions to streamline data processing and orchestration across the business. End-User Reporting & Analytics … using Kimball methodologies, dimensional modeling, star schema design, and Data Vault techniques is essential. You should be well-versed in applying data architecture principles to create robust, scalable solutions Azure Cloud Proficiency: Deep understanding of Azure cloud tools such as Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, and Logic Apps Microsoft More ❯

make the UK what it is. Why Join KPMG Data and AI Team We are looking for a skilled and proactive Data Engineer with strong expertise in the Microsoft Azure data ecosystem , including Microsoft Fabric , Synapse Analytics , and Delta Lake . This role requires hands-on experience in building and optimising data pipelines and notebooks, transforming large … stakeholders (CFO, CDO, CIO) to cultivate relationships as a trusted partner through articulating and realizing the value of data. Design, develop, and maintain robust data pipelines and notebooks using Synapse Analytics and Microsoft Fabric. Build and optimise complex data transformation and ingestion logic to support enterprise-level reporting and analytics. Leverage Delta Lake architecture to support both batch … processes. Develop high-quality, reusable code in Python and PySpark , following best practices and ensuring maintainability. Create insightful, interactive reports and dashboards using Power BI . Use Git and Azure DevOps (ADO) for version control and deployment workflows. Continuously improve the performance, reliability, and scalability of data systems. Advocate for best practices in data governance, data quality, and documentation More ❯

make the UK what it is. Why Join KPMG Data and AI Team We are looking for a skilled and proactive Data Engineer with strong expertise in the Microsoft Azure data ecosystem , including Microsoft Fabric , Synapse Analytics , and Delta Lake . This role requires hands-on experience in building and optimising data pipelines and notebooks, transforming large … stakeholders (CFO, CDO, CIO) to cultivate relationships as a trusted partner through articulating and realizing the value of data. Design, develop, and maintain robust data pipelines and notebooks using Synapse Analytics and Microsoft Fabric. Build and optimise complex data transformation and ingestion logic to support enterprise-level reporting and analytics. Leverage Delta Lake architecture to support both batch … data processes. Develop high-quality, reusable code in Python and PySpark, following best practices and ensuring maintainability. Create insightful, interactive reports and dashboards using Power BI. Use Git and Azure DevOps (ADO) for version control and deployment workflows. Continuously improve the performance, reliability, and scalability of data systems. Advocate for best practices in data governance, data quality, and documentation. More ❯

client, a forward-thinking organization using data to drive innovation and business performance. They’re expanding their team and are looking for a talented Data Engineer with experience in Azure and Databricks to join the team. Salary and Benefits £55,000 – £65,000 salary depending on experience 10% performance-related bonus Hybrid working model – 2 days in the Greater … The Role: As a Data Engineer, you'll play a key role in designing, building, and maintaining high-quality data pipelines and architectures that support our business intelligence and analytics goals. You'll work closely with data scientists, analysts, and other engineers to deliver reliable and performant data solutions. Key Responsibilities: Develop and manage scalable data pipelines using Azure Data Factory, Data Lake, Synapse, and Databricks. Build and maintain Delta Lake architectures to support both batch and real-time processing. Collaborate with stakeholders to define data requirements and translate them into robust technical solutions. Ensure data quality, performance tuning, and cost efficiency across cloud services. Contribute to DevOps processes, including CI/CD pipelines and infrastructure-as More ❯

client, a forward-thinking organization using data to drive innovation and business performance. They’re expanding their team and are looking for a talented Data Engineer with experience in Azure and Databricks to join the team. Salary and Benefits £55,000 – £65,000 salary depending on experience 10% performance-related bonus Hybrid working model – 2 days in the Greater … The Role: As a Data Engineer, you'll play a key role in designing, building, and maintaining high-quality data pipelines and architectures that support our business intelligence and analytics goals. You'll work closely with data scientists, analysts, and other engineers to deliver reliable and performant data solutions. Key Responsibilities: Develop and manage scalable data pipelines using Azure Data Factory, Data Lake, Synapse, and Databricks. Build and maintain Delta Lake architectures to support both batch and real-time processing. Collaborate with stakeholders to define data requirements and translate them into robust technical solutions. Ensure data quality, performance tuning, and cost efficiency across cloud services. Contribute to DevOps processes, including CI/CD pipelines and infrastructure-as More ❯

offices are in Haywards Heath, West Sussex; Salford Quays, Manchester; and Guernsey . We also welcome remote applications from further afield. Core skills required: Data & Technology: Passion for data, analytics, and technology, with experience in metadata-driven pipelines. Self-starter: Ability to triage workloads and work autonomously to achieve goals. Mentorship: Ability to mentor and inspire colleagues. Data Lifecycle … visualizations in tools like PowerBI. Experience & Knowledge: Extensive experience in end-to-end cloud data solutions, preferably in Azure. Experience with big data technologies like Databricks and/or Synapse Analytics using PySpark. Solution design experience across the data lifecycle. Proficiency with Azure services such as Data Factory, Azure Functions, ADLS Gen2, Key Vault, Synapse SQL, and Azure SQL. Programming skills in Python, C#, and PowerShell. Understanding of infrastructure as code. Experience with data modeling, testing, and operational support documentation. Excellent communication skills and a proactive approach to data value extraction. Experience with CI/CD methods and working in agile, self-managing teams. Strong coaching skills and a passion for helping others More ❯

offices are in Haywards Heath, West Sussex; Salford Quays, Manchester; and Guernsey . We also welcome remote applications from further afield. Core skills required: Data & Technology: Passion for data, analytics, and technology, with experience in metadata-driven pipelines. Self-starter: Ability to triage workloads and work autonomously to achieve goals. Mentorship: Ability to mentor and inspire colleagues. Data Lifecycle … visualizations in tools like PowerBI. Experience & Knowledge: Extensive experience in end-to-end cloud data solutions, preferably in Azure. Experience with big data technologies like Databricks and/or Synapse Analytics using PySpark. Solution design experience across the data lifecycle. Proficiency with Azure services such as Data Factory, Azure Functions, ADLS Gen2, Key Vault, Synapse SQL, and Azure SQL. Programming skills in Python, C#, and PowerShell. Understanding of infrastructure as code. Experience with data modeling, testing, and operational support documentation. Excellent communication skills and a proactive approach to data value extraction. Experience with CI/CD methods and working in agile, self-managing teams. Strong coaching skills and a passion for helping others More ❯

data solutions to help our customers become more successful in becoming a data-guided organisation. The Data Architect is responsible for planning, designing and delivering elegant solutions using Microsoft Azure data services. The Data Architect engages in the full project lifecycle from presales through to operational handover and is accountable for the technical delivery of projects. The Data Architect … at least 5 consecutive years. More information on SC Clearance checks can be found here Responsibilities Designing cloud-based data platforms and data solutions using a wide range of Azure Services including Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Synapse, Azure Cosmos DB, Azure Data Factory and Azure … principles, including Data Governance, Data Quality, Master and Reference Data Management, Metadata Management, Security and Compliance Strong experience in Data Warehouse methodologies Strong experience in SQL Good understanding of Azure infrastructure (Subscriptions/Resource Groups, Virtual Networks, Kubernetes, Security options, etc) Good understanding of modern reporting platforms (dashboarding, advanced analytics, AI) An ability to explain complex problems in More ❯

to-end data pipelines using Python, Databricks, PySpark, and SQL. Integrate data from various sources including APIs, Excel, CSV, JSON, and databases. Manage data lakes, warehouses, and lakehouses within Azure cloud environments. Apply data modelling techniques such as Kimball methodologies, star schemas, and data warehouse design principles. Build and support ETL workflows using tools like Azure Data Factory … Synapse, Delta Live Tables, dbt, SSIS, etc. Automate infrastructure deployment with Terraform, ARM, or Bicep. Collaborate on report development and visualisation with Power BI. Manage version control and deployment pipelines using Git, Azure DevOps, or GitHub. Use scripting (PowerShell/Bash) for automation tasks. Contribute to the development of applications and APIs supporting data workflows. Promote best practices … and PySpark. Experienced working with data lakes, warehouses, lakehouses, and cloud platforms, preferably Azure. Knowledgeable in data modelling, including Kimball and star schemas. Familiar with ETL tools such as Azure Data Factory, Synapse, Delta Live Tables, dbt, SSIS. Experienced with Infrastructure as Code (Terraform, ARM, Bicep). Skilled in Power BI report development. Proficient in version control and More ❯

Senior Data Engineer - Azure Data - Burton-on-Trent - Permanent - Hybrid Salary - £60,000 - £65,000 per annum This role requires 1 day/week in Burton-on-Trent, with hybrid working arrangements. Our client is seeking a highly skilled Senior Data Engineer to join their dynamic IT team, based in Burton-on-Trent. The Senior Data Engineer will come … an efficient Business Intelligence technical service. Assisting in the advancement of our cloud-based data platforms, providing options for timely processing and cost-efficient solutions. A strong background in Azure Data Pipeline development is key for this position. Key Skills & Responsibilities: Build and manage pipelines using Azure Data Factory, Databricks, CI/CD, and Terraform. Optimisation of ETL … processes for performance and cost-efficiency. Design scalable data models aligned with business needs. Azure data solutions for efficient data storage and retrieval. Ensure compliance with data protection laws (e.g., GDPR), implement encryption and access controls. Work with cross-functional teams and mentor junior engineers. Manage and tune Azure SQL Database instances. Proactively monitor pipelines and infrastructure for More ❯

Working hours: 35 hours per week, Monday to Friday Duration: Permanent Location: Gloucester Job Ref: 203895 About the role Benefact Group is seeking a Lead Data & Analytics Engineer to join our Gloucester office. The role involves leading the design, development, and optimization of cloud-based data pipelines and analytics solutions using modern cloud technologies. You will ensure scalable … and achieving milestones. Cloud Data Engineering: Lead the design, build, and maintenance of cloud-native data pipelines using ETL/ELT, streaming, and modern data processing techniques. Data Visualisation & Analytics: Oversee scalable, cloud-based analytics and data services to enable business decision-making. Operational Support & Troubleshooting: Ensure high availability and reliability of data solutions, providing second-line support … and performance optimization. Cloud Governance & Security: Implement and enforce best practices for security, compliance, and governance in cloud data environments. Collaboration & Agile Development: Work closely with stakeholders, attend Data Analytics Board meetings, and lead agile processes. Data Strategy & Automation: Drive automation and self-service solutions, promoting a data-driven culture. Continuous Integration & Deployment: Support cloud-based CI/CD More ❯

Working hours: 35 hours per week, Monday to Friday Duration: Permanent Location: Gloucester Job Ref: 203895 About the role Benefact Group , are looking for a Lead Data & Analytics Engineer to join our Gloucester office. Within the role, you willlead the design, development, and optimisation of cloud-based data pipelines and analytics solutions using modern cloud technologies. This role … milestones and objectives. Cloud Data Engineering: Lead the design, build, and maintenance of cloud-native data pipelines using ETL/ELT, streaming, and modern data processing techniques. Data Visualisation & Analytics: Oversee the provision of scalable, cloud-based analytics and data services that empower business decision-making. Operational Support & Troubleshooting: Ensure high availability and reliability of cloud data solutions … and optimising performance. Cloud Governance & Security: Implement and enforce best practices for security, compliance, and governance in cloud data environments. Collaboration & Agile Development: Work closely with stakeholders, attending Data Analytics Board (DAB) meetings, and leading agile development processes. Data Strategy & Automation: Drive the creation of automated and self-service solutions, enabling Data as a Service for users while fostering More ❯

Job Title: Data Engineer (Fabric, Synapse & ADF) Location: Remote (UK-based candidates only) Contract: 3–6 Month Rolling Contract IR35 Status: Outside IR35 Day Rate: £500–£600 per day Overview: We’re looking for an experienced Data Engineer to join a dynamic team working across a variety of exciting data projects. This role involves a blend of greenfield builds … remote-based position, open to UK-based candidates only, and is offered on an Outside IR35 basis. Key Responsibilities: Design, build, and maintain scalable data pipelines using Microsoft Fabric, Azure Synapse, and Azure Data Factory (ADF). Develop and optimise ETL/ELT processes to support business intelligence and analytics solutions. Collaborate with data architects, analysts … practices are followed throughout. Troubleshoot performance issues and support existing solutions as needed. Key Skills & Experience: Proven experience as a Data Engineer working in cloud-native environments. Microsoft Fabric Azure Synapse Analytics Azure Data Factory (ADF) Strong understanding of data modelling, ETL/ELT development, and data warehouse best practices. Experience working across greenfield and brownfield More ❯

Job Title: Data Engineer (Fabric, Synapse & ADF) Location: Remote (UK-based candidates only) Contract: 3–6 Month Rolling Contract IR35 Status: Outside IR35 Day Rate: £500–£600 per day Overview: We’re looking for an experienced Data Engineer to join a dynamic team working across a variety of exciting data projects. This role involves a blend of greenfield builds … remote-based position, open to UK-based candidates only, and is offered on an Outside IR35 basis. Key Responsibilities: Design, build, and maintain scalable data pipelines using Microsoft Fabric, Azure Synapse, and Azure Data Factory (ADF). Develop and optimise ETL/ELT processes to support business intelligence and analytics solutions. Collaborate with data architects, analysts … practices are followed throughout. Troubleshoot performance issues and support existing solutions as needed. Key Skills & Experience: Proven experience as a Data Engineer working in cloud-native environments. Microsoft Fabric Azure Synapse Analytics Azure Data Factory (ADF) Strong understanding of data modelling, ETL/ELT development, and data warehouse best practices. Experience working across greenfield and brownfield More ❯

Newcastle Reporting To: Mike Jolley Compensation: £55,000 - £68,500/year Description We're building something special — and we need a talented Data Engineer to help bring our Azure data platform to life. This is your chance to work on a greenfield Enterprise Data Warehouse programme in the insurance sector, shaping data pipelines and platforms that power smarter … decisions, better pricing, and sharper customer insights. The Data Engineer will design, build, and optimise scalable data pipelines within Azure Databricks, ensuring high-quality, reliable data is available to support pricing, underwriting, claims, and operational decision-making. This role is critical in modernising SBG’s cloud-based data infrastructure, ensuring compliance with FCA/PRA regulations, and enabling AI … driven analytics and automation. By leveraging Azure-native services, such as Azure Data Factory (ADF) for orchestration, Delta Lake for ACID-compliant data storage, and Databricks Structured Streaming for real-time data processing, the Data Engineer will help unlock insights, enhance pricing accuracy, and drive innovation. The role also includes optimising Databricks query performance, implementing robust security More ❯

level at one of the Sunday Times Top 100 Best Companies to Work For? Cooper Parry are seeking a skilled and proactive Data Engineer to join our growing Data & Analytics team. You will play a critical role in designing, building, and maintaining robust, scalable data infrastructure on the Azure and Microsoft stack, enabling enterprise-wide analytics, reporting … and data science initiatives. This role offers the opportunity to shape the foundation of our future "lab and factory" model of analytics and ML delivery. A day in the life of a CP Data Engineer... Design and build end-to-end data pipelines and integrations using Azure Data Factory, Azure Synapse and related tools Monitor data … problems Develop and support a Lakehouse architecture, including structured and unstructured data ingestion, processing, and consumption layers Implement and optimise semantic models for Power BI and support self-service analytics across CP Support the development of a secure and scalable analytics lab environment for advanced analytics and ML experimentation Work with the team to implement data architecture More ❯

You’ll work closely with product, data, infosecand engineering teams. Role purpose You will be instrumental in designing and building scalable data infrastructure, pipelines, and tooling to support advanced analytics, real-time data applications, and regulatory compliance. This is an opportunity to make a meaningful impact on the lives of thousands of people across the globe. What will you … sources Leverage data mining techniques to extract meaningful insights from large-scale datasets, including customer transactions, behavioural data, and third-party data providers Develop and optimise data models for analytics and business intelligence applications Integrate and manage open banking APIs and datasets (e.g. PSD2, Open Banking UK, CDR Australia), ensuring compliance with regulatory standards Implement and enforce data governance … protocols, and APIs (e.g. Open Banking UK, PSD2) Proficiency in programming languages such as Python, Scala, or Java Experience with cloud data platforms such as GCP (BigQuery, Dataflow) or Azure (Data Factory, Synapse) Expert in SQL, MongoDB and distributed data systems such as Spark, Databricks or Kafka Familiarity with data warehousing concepts and tools (e.g. Snowflake) Experience with More ❯

platforms. Establish best practices and standards for data modeling, integration, and management. Platform Design and Implementation: Architect, design, and implement data warehouse solutions using platforms like Databricks, Redshift, BigQuery, Synapse, and Snowflake. Develop scalable big data solutions using cloud data technologies and services. Ensure the data architecture supports data quality, security, and governance requirements. Technology Leadership: Evaluate and recommend … warehousing, and big data solutions. 5+ years of experience working in Cloud AWS, GCP or Azure. 5+ years of experience working in modern cloud data platforms (Databricks, Redshift, BigQuery, Synapse, SAP Datasphere, and Snowflake.) 5+ years of experience designing Cloud Infrastructure on AWS, GCP or Azure. Extensive experience with data warehouse platforms such as Teradata Oracle, SAP BW and … PL/SQL, and performance tuning in Teradata, Oracle, and other databases. Strong experience with cloud data platforms tools and services (e.g., AWS Glue, AWS Redshift, Daataproc, Google BigQuery, Azure Synapse, ADF). Experience with data governance, security, and compliance best practices. Excellent problem-solving, analytical, and critical-thinking skills. Strong leadership, communication, and collaboration abilities. Preferred Qualifications More ❯

overseeing junior staff, including mentoring, reviewing work, and ensuring project alignment with organisational goals and standards. What do I need to apply for the role Expert use of Fabric, Azure Data Factory, Azure Synapse. Expertise in SQL and Python. Experience working with relational SQL databases either on premises or in the cloud. Power platform experience is desirable. Experience … restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the More ❯