1 to 25 of 54 Permanent Azure Synapse Analytics Jobs in London

Data Engineer - Azure/Microsoft Fabric City of London - Hybrid Working Circa £60k-70k + Bonus & Benefits Our client, a forward-thinking and globally connected staffing & consulting organization is seeking a skilled and driven Data Engineer to join their growing Data & Analytics team. Based in the City of London, this role presents a fantastic opportunity for someone with … years of data engineering experience who is passionate about building robust data solutions using Microsoft Azure and Microsoft Fabric technologies. This is a hands-on technical role where you'll work closely with the Lead Data Architect and collaborate across the business to design, build, and support scalable data infrastructure that powers business intelligence, reporting, and analytics. The ideal … their skills and take ownership of impactful data projects within a fast-paced, modern tech environment. Key Responsibilities: Design, develop, and maintain data pipelines and data warehousing solutions using Azure services Work with stakeholders to convert business requirements into scalable technical solutions Develop tabular and multidimensional data models and perform DAX queries within Power BI Support the integration and More ❯

most connected data platform that bridges marketing strategy to scaled activation. We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising. We're endlessly curious. Our team of … seeking a meticulous and experienced Data Architect to play a crucial role in designing, documenting, and ensuring the quality of our next-generation media data lake on the Microsoft Azure platform. This role will focus on developing and upholding the architectural integrity of the data lake, with a strong emphasis on the medallion architecture and integrating comprehensive Quality Assurance … practices. The ideal candidate will possess deep expertise in Azure data services, data modeling, and QA methodologies, ensuring our data platform is scalable, reliable, and delivers high-quality data. WHAT YOU WILL DO • Design and document significant components of the end-to-end architecture for the media data lake on Azure, ensuring alignment with the medallion architecture (Bronze More ❯

Shape the Future of Data - Azure Data Architect - Hybrid - London SE1 Job Title: Data Architect - Azure Platform Specialist Location: Hybrid - 1-2 days per week in London (SE1). 3-4 days remote Salary: £90 - £115K OTE including bonus Start: ASAP The Client: A Microsoft-focused digital consultancy at the forefront of AI, Cloud, and Data transformation. As … they design and deliver cutting-edge data solutions to clients in sectors including finance, pharma, energy, insurance, and retail. The Candidate: Were looking for a confident and technically strong Azure Data Architect with experience shaping modern, scalable data platforms. The role would suit an excellent communicator, comfortable collaborating with stakeholders, leading engineering teams, and working across tools like Microsoft … Fabric, Synapse, and Databricks. The client is looking for someone who is passionate about data and innovation, who will being solid architecture, modelling, and DevOps practices to their work. The Role: You'll architect Azure-based data platforms from the ground up, engaging from discovery and design through to build and optimisation. You'll support delivery teams, provide More ❯

opportunity to join a forward-thinking team working with cutting-edge technologies in a collaborative and inclusive environment. Key Responsibilities Design, develop, and maintain scalable data pipelines using Snowflake, Azure Synapse, DBT, and Azure DevOps Ensure solutions are GDPR-compliant and aligned with business and technical requirements Lead Agile delivery within Scrum teams, translating user stories into … fostering a culture of learning and excellence Ideal Candidate Profile Proven experience in data engineering, including ELT/ETL, data integration, and data warehousing Hands-on expertise with Snowflake, Azure Synapse/Data Factory, DBT Cloud, and Azure DevOps Familiarity with cloud platforms, streaming technologies, and dimensional data modelling (Kimball) Strong understanding of Agile methodologies (Scrum/ More ❯

opportunity to join a forward-thinking team working with cutting-edge technologies in a collaborative and inclusive environment. Key Responsibilities Design, develop, and maintain scalable data pipelines using Snowflake, Azure Synapse, DBT, and Azure DevOps Ensure solutions are GDPR-compliant and aligned with business and technical requirements Lead Agile delivery within Scrum teams, translating user stories into … fostering a culture of learning and excellence Ideal Candidate Profile Proven experience in data engineering, including ELT/ETL, data integration, and data warehousing Hands-on expertise with Snowflake, Azure Synapse/Data Factory, DBT Cloud, and Azure DevOps Familiarity with cloud platforms, streaming technologies, and dimensional data modelling (Kimball) Strong understanding of Agile methodologies (Scrum/ More ❯

s leading advisory firms with a truly global footprint. We're looking for a Data Warehouse Solution Engineer to take ownership of evolving, maintaining, and supporting our newly established Azure data warehouse. In this hands-on role, you'll collaborate with the Applications Team, Finance, the Data Governance & Quality Manager, and the wider IT function to ensure our data … remains accurate, timely, and trusted. This is a fantastic opportunity to help shape how data is used across the business. You'll play a central role in extending our Azure data warehouse through new system integrations, enabling deeper insights that support smarter, faster decision-making at every level of the firm. With a small but growing team, we're … and other internal teams, notably Finance, build a roadmap of business use cases to ingest into the data warehouse to fuel reporting & dashboards. Own, monitor, and evolve the current Azure Data warehouse, developing and implementing data engineering best-practice (e.g., source-to-target mappings, coding standards, data quality, etc.), working closely with the external party who setup the environment More ❯

roadmap for the ongoing development and enhancement of the Data Platform. Design, implement, and oversee scalable data pipelines and ETL/ELT processes within MS Fabric, leveraging expertise in Azure Data Factory, Databricks, and other Azure services. Advocate for engineering best practices and ensure long-term sustainability of systems. Integrate principles of data quality, observability, and governance throughout … data organization. Demonstrate pragmatic leadership by aligning multiple product workstreams to achieve a unified, robust, and trustworthy data platform that supports production services such as dashboards, new product launches, analytics, and data science initiatives. Develop and maintain comprehensive data models, data lakes, and data warehouses (e.g., utilizing Azure Synapse). Collaborate with data analysts, Analytics Engineers … and owning data models, data lakes, and data warehouses Programming proficiency in Python, Pyspark, Scala or Java. Experience operating in a cloud-native environment (e.g. Fabric, AWS, GCP, or Azure). Excellent stakeholder management and communication skills. A strategic mindset, with a practical approach to delivery and prioritisation. Proven success with modern data infrastructure: distributed systems, batch and streaming More ❯

roadmap for the ongoing development and enhancement of the Data Platform. Design, implement, and oversee scalable data pipelines and ETL/ELT processes within MS Fabric, leveraging expertise in Azure Data Factory, Databricks, and other Azure services. Advocate for engineering best practices and ensure long-term sustainability of systems. Integrate principles of data quality, observability, and governance throughout … data organization. Demonstrate pragmatic leadership by aligning multiple product workstreams to achieve a unified, robust, and trustworthy data platform that supports production services such as dashboards, new product launches, analytics, and data science initiatives. Develop and maintain comprehensive data models, data lakes, and data warehouses (e.g., utilizing Azure Synapse). Collaborate with data analysts, Analytics Engineers … and owning data models, data lakes, and data warehouses Programming proficiency in Python, Pyspark, Scala or Java. Experience operating in a cloud-native environment (e.g. Fabric, AWS, GCP, or Azure). Excellent stakeholder management and communication skills. A strategic mindset, with a practical approach to delivery and prioritisation. Proven success with modern data infrastructure: distributed systems, batch and streaming More ❯

established and rapidly growing global ecommerce business with its headquarters based in London. The Data Engineer Manager will play a pivotal role at the heart of our clients data & analytics operation. Having implemented a new MS Fabric based Data platform, the need is now to scale up and meet the demand to deliver data driven insights and strategies right … roadmap for the ongoing development and enhancement of the Data Platform. Design, implement, and oversee scalable data pipelines and ETL/ELT processes within MS Fabric, leveraging expertise in Azure Data Factory, Databricks, and other Azure services. Advocate for engineering best practices and ensure long-term sustainability of systems. Integrate principles of data quality, observability, and governance throughout … data organization. Demonstrate pragmatic leadership by aligning multiple product workstreams to achieve a unified, robust, and trustworthy data platform that supports production services such as dashboards, new product launches, analytics, and data science initiatives. Develop and maintain comprehensive data models, data lakes, and data warehouses (e.g., utilizing Azure Synapse). Collaborate with data analysts, Analytics Engineers More ❯

Job Description: We are seeking a highly skilled Senior Data Engineer with strong expertise in Azure cloud technologies and ETL processes. The ideal candidate will have a deep understanding of data architecture, data modeling, and data integration to support scalable and high-performance data solutions. Key Responsibilities: Design and implement end-to-end Azure-based data solutions using … services such as Azure SQL Database, Data Factory, Synapse Analytics, Data Lake, DevOps, and Storage. Develop and optimize ETL processes using Informatica for data integration and migration across UNIX and Windows environments. More ❯

Job Description: We are seeking a highly skilled Senior Data Engineer with strong expertise in Azure cloud technologies and ETL processes. The ideal candidate will have a deep understanding of data architecture, data modeling, and data integration to support scalable and high-performance data solutions. Key Responsibilities: Design and implement end-to-end Azure-based data solutions using … services such as Azure SQL Database, Data Factory, Synapse Analytics, Data Lake, DevOps, and Storage. Develop and optimize ETL processes using Informatica for data integration and migration across UNIX and Windows environments. More ❯

is seeking a Data Architect, who will play a critical role in shaping their data infrastructure, ensuring they have scalable, flexible, and sustainable architecture to support their business intelligence, analytics, and operational systems. This role will require close collaboration with stakeholders across the business, from technology and data teams to senior leaders. Responsibilities Lead the design and delivery of … across digital, data, and business teams to translate business goals into robust, scalable data solutions Define data architecture patterns and standards that support high-quality, governed data and efficient analytics across the organisation Guide and oversee the development of data pipelines, ETL/ELT processes, and data automation strategies to improve data delivery and reduce manual processes Ensure data … modelling techniques-including conceptual, logical, and physical modelling Strong expertise in Kimball methodology and dimensional modelling (e.g. star schema design) Experience with modern cloud data platforms, ideally including Microsoft Azure, Databricks, and associated tools (e.g., Azure Data Factory, Azure SQL, Synapse) Familiarity with modern data engineering practices including the use of automated data pipelines, ETL/ More ❯

essential partner for risk assessment. Within our Insurance business, we provide customers with solutions and decision tools that combine public, proprietary and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our solutions help drive better data-driven decisions across the insurance lifecycle, all while reducing risk and … international markets. About the role: We are looking for a Data Analyst to support the enablement and onboarding of business stakeholders onto the Creative Track of BDAP (Business Data Analytics Platform). This role is critical in accelerating the transition to self-service analytics by guiding users in accessing, exploring, and analyzing data using cloud-native tools such … technical teams and business users, helping translate data requirements into actionable workflows. Requirements: Exceptional data analysis skills with proficiency in Databricks, SQL, and Python. Hands-on experience with cloud analytics platforms (e.g., Azure Synapse, Databricks, Snowflake, or similar). Excellent communication and teaching abilities; comfortable supporting non-technical users. Ability to create clear documentation, walkthroughs, and training More ❯

essential partner for risk assessment. Within our Insurance business, we provide customers with solutions and decision tools that combine public, proprietary and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our solutions help drive better data-driven decisions across the insurance lifecycle, all while reducing risk and … international markets. About the role: We are looking for a Data Analyst to support the enablement and onboarding of business stakeholders onto the Creative Track of BDAP (Business Data Analytics Platform). This role is critical in accelerating the transition to self-service analytics by guiding users in accessing, exploring, and analyzing data using cloud-native tools such … technical teams and business users, helping translate data requirements into actionable workflows. Requirements: Exceptional data analysis skills with proficiency in Databricks, SQL, and Python. Hands-on experience with cloud analytics platforms (e.g., Azure Synapse, Databricks, Snowflake, or similar). Excellent communication and teaching abilities; comfortable supporting non-technical users. Ability to create clear documentation, walkthroughs, and training More ❯

essential partner for risk assessment. Within our Insurance business, we provide customers with solutions and decision tools that combine public, proprietary and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our solutions help drive better data-driven decisions across the insurance lifecycle, all while reducing risk and … international markets. About the role: We are looking for a Data Analyst to support the enablement and onboarding of business stakeholders onto the Creative Track of BDAP (Business Data Analytics Platform). This role is critical in accelerating the transition to self-service analytics by guiding users in accessing, exploring, and analyzing data using cloud-native tools such … technical teams and business users, helping translate data requirements into actionable workflows. Requirements: Exceptional data analysis skills with proficiency in Databricks, SQL, and Python. Hands-on experience with cloud analytics platforms (e.g., Azure Synapse, Databricks, Snowflake, or similar). Excellent communication and teaching abilities; comfortable supporting non-technical users. Ability to create clear documentation, walkthroughs, and training More ❯

essential partner for risk assessment. Within our Insurance business, we provide customers with solutions and decision tools that combine public, proprietary and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our solutions help drive better data-driven decisions across the insurance lifecycle, all while reducing risk and … international markets. About the role: We are looking for a Data Analyst to support the enablement and onboarding of business stakeholders onto the Creative Track of BDAP (Business Data Analytics Platform). This role is critical in accelerating the transition to self-service analytics by guiding users in accessing, exploring, and analyzing data using cloud-native tools such … technical teams and business users, helping translate data requirements into actionable workflows. Requirements: Exceptional data analysis skills with proficiency in Databricks, SQL, and Python. Hands-on experience with cloud analytics platforms (e.g., Azure Synapse, Databricks, Snowflake, or similar). Excellent communication and teaching abilities; comfortable supporting non-technical users. Ability to create clear documentation, walkthroughs, and training 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 ❯

and youll also play a pivotal role in helping our client scale and modernise. What youll bring MLOps experience essential Proficiency in SQL and Python Cloud engineering experience with Azure (if you have exp with AWS this would be beneficial) Experience working with cloud-based data platforms such as AWS Redshift or Azure Synapse Understanding of automated … growth and direction of the business capabilities and building a successful team around you. Competitive base salary 30 days Annual leave + Bank Holidays Continuous exploration of new data analytics techniques and a change to drive MLOps across a growing business unit. More ❯

governance, data quality, and compliance standards. Strong analytical and problem-solving skills with attention to detail. Excellent communication and documentation abilities. Preferred: Exposure to cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery, Snowflake). Knowledge of Python, R, or other scripting languages for data manipulation. Experience in banking, financial services, or enterprise IT environments. More ❯

governance, data quality, and compliance standards. Strong analytical and problem-solving skills with attention to detail. Excellent communication and documentation abilities. Preferred: Exposure to cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery, Snowflake). Knowledge of Python, R, or other scripting languages for data manipulation. Experience in banking, financial services, or enterprise IT environments. More ❯

Select Which statement best describes your hands on responsibility for architecting and tuning cloud native data lake/warehouse solutions (e.g., AWS S3 + Glue/Redshift, GCP BigQuery, Azure Synapse)? Select What best reflects your experience building ETL/ELT workflows with Apache Airflow (or similar) and integrating them into containerised CI/CD pipelines (Docker, GitHub More ❯

data team, working closely with architects, analysts, and business stakeholders to unlock insights and enable innovation. What You'll Be Doing: Design and build robust, automated data pipelines using Azure Data Factory, Synapse, dbt, and Databricks. Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI … secure handling of sensitive data in line with GDPR and internal policies. What We're Looking For: Solid experience in data engineering or backend data development. Strong experience with Azure data services (e.g., Data Factory, Dake Lake, Synapse, Databricks) and tools like dbt. Proficiency in SQL and Python, with a solid understanding of data modelling and transformation. Experience … roles may be subject to successful background checks including a DBS and Credit Check. Tenth Revolution Group/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, and the London Power BI More ❯