22 of 22 Remote Azure Synapse Analytics Jobs in London

Data Engineer to design, build, and optimize data solutions using the Microsoft technology stack. The role focuses on developing scalable ETL pipelines, data models, and cloud-based solutions leveraging Azure Data Factory, Azure Synapse, Azure SQL, and Azure Functions . The ideal candidate will have a proven background in data engineering, cloud architecture, and enterprise … data systems . Job Role Responsibilities: Design and implement robust ETL pipelines using Azure Data Factory . Develop and maintain data models and warehouses with Azure Synapse and Azure SQL . Build scalable data processing solutions using Azure Functions . Create interactive dashboards and reports with Power BI . Collaborate with business and technical teams … Support and enhance existing data infrastructure, including troubleshooting issues. Experience/Skills/Knowledge/Qualifications: Minimum 5 years experience in data engineering roles. Strong hands-on expertise in Azure Data Factory, Azure Synapse, Azure SQL, and Azure Functions . Proficiency in SQL, data modeling, and ETL processes . Knowledge of cloud-based data architecture More ❯

partner, specialising in end-to-end transformation. As a global consultancy firm working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics. Our highly skilled team help drive improvements, creating efficiency and growth within organisations. We are committed to Microsoft technologies, with a mission to revolutionise … business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance of machine learning solutions using tools such as Azure Azure ML, and Azure Application Insights. Operationalise and deploy AI solutions, ensuring that coding, security and CI/CD best practices are followed. Communicate and present findings and recommendations to stakeholders and customers using tools such as More ❯

partner, specialising in end-to-end transformation. As a global consultancy firm working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics. Our highly skilled team help drive improvements, creating efficiency and growth within organisations. We are committed to Microsoft technologies, with a mission to revolutionise … business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance of machine learning solutions using tools such as Azure Azure ML, and Azure Application Insights. Operationalise and deploy AI solutions, ensuring that coding, security and CI/CD best practices are followed. Communicate and present findings and recommendations to stakeholders and customers using tools such as More ❯

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 ❯

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 ❯

Lead Azure Cloud Engineer Location: Hybrid (London-based preferred) Start Date: 06/10 Finish Date: 30/01 SC Clearance: Yes Key Responsibilities Azure Cost Optimisation: Analyse current Azure spend using native tools (Cost Management + Billing, Advisor, etc.) Identify cost inefficiencies and implement strategies such as reserved instances, autoscaling, and workload reallocation Develop forecasting models … and savings plans in collaboration with finance teams Infrastructure Engineering & Automation: Design and deploy scalable Azure infrastructure using Infrastructure as Code (ARM templates, Bicep, Terraform) Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions Integrate monitoring and alerting via Azure Monitor, Log Analytics, and Application Insights Data Provisioning & Governance: Optimise data pipelines … and storage solutions (e.g., Azure Data Factory, Synapse, Blob Storage) for cost and performance Ensure compliance with data governance policies including RBAC, encryption, and audit logging Collaborate with data engineering teams to streamline provisioning and reduce overhead Stakeholder Engagement: Liaise with DBT’s platform, data, and finance teams to align technical decisions with business objectives Present cost-saving 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 ❯

Contract Role: Data Engineer - Azure Migration Project Location: Hybrid (2 days/week onsite in London) Contract Length: 6 months Day Rate: £450/day (Outside IR35) Start Date: ASAP Sector: Consultancy Overview We are recruiting on behalf of a consultancy client for an experienced Data Engineer to support a strategic data migration project . The role involves migrating … legacy data systems to a modern Azure-based architecture, with a focus on performance, scalability, and reliability. Responsibilities Design and implement robust data migration pipelines using Azure Data Factory, Synapse Analytics, and Databricks Develop scalable ETL processes using PySpark and Python Collaborate with stakeholders to understand legacy data structures and ensure accurate mapping and transformation Ensure … data quality, governance, and performance throughout the migration lifecycle Document technical processes and support knowledge transfer to internal teams Required Skills Strong hands-on experience with Azure Data Factory, Synapse, Databricks, PySpark, Python, and SQL Proven track record in delivering data migration projects within Azure environments Ability to work independently and communicate effectively with technical and non More ❯

intelligence function through analysis of complex business problems and issues, using data from internal and external sources to provide insight to decision-makers. Experience with cloud platforms such as Azure and Databricks would be advantageous, particularly as we continue to evolve our data infrastructure, but is not essential for success in this role. Key Responsibilities: Reporting Produce reports and … providing consultation to users and leading cross-functional teams to address business issues. Ensure consistency in reporting and empower employees to run and update their own reports. Familiarity with Azure Data Lake , Azure Synapse , or Databricks to support scalable and integrated reporting solutions. Business Intelligence Use Microsoft Dynamics and Power BI to conduct business intelligence reviews, uncover … better data-driven decision-making across the UK Tax business. Communicate findings clearly to senior management to influence operational strategies. Identify opportunities for process improvement and efficiency. Experience with Azure-based data pipelines or Databricks notebooks for data transformation and analysis. Complexity and Problem Solving Address diverse business challenges where analysis of information requires evaluation of multiple factors. Identify 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 ❯

testing, including ETL/ELT processes. Strong proficiency in SQL scripting, including writing and executing complex queries. Hands-on experience with structured and unstructured data testing. Good understanding of Azure data services , including Data Factory, Databricks, Synapse (Azure SQL DW), Cosmos DB, and Azure Data Lake. Knowledge of data testing concepts and best practices within data 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 ❯

physical data models . C ollaborating with data engineers, analysts, and business stakeholders to gather and translate data requirements . E nsuring data models support operations, business intelligence and analytics use cases . I mplementing and maintaining metadata and data dictionaries . R eviewing and optimising existing data models for performance and scalability . E nsuring data models align … efficient service that reflects the diversity of our customers and staff . Minimum Criteria : D ocumenting, designing and aiding in the implementation of data models for data warehouses and analytics platforms . M odelling unstructured, semi structured and structured data . M odelling the migration of data from legacy systems . U sing data modelling tools such as ER …/Studio, ERwin , dbt , or similar . W riting complex SQL or Python queries and understanding data profiling techniques . W orking with cloud-based data platforms e.g. Azure Synapse . A pplying data governance and data quality principles in modelling work . H olding a degree in computer science, information systems, or a related field or equivalent More ❯

experience in a similar consultancy based role You have advanced requirements gathering, analysis and solution design experience with a focus on data projects You have experience of establishing data analytics and supporting AI solutions You have a good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF … Synapse, Fabric, Azure Functions) You have advanced client and stakeholder management skills What's in it for you: As a Data Architect/Consultant you will receive a competitive package: Salary to £100k Pension (6%) Private Medical Care, Life Assurance, Income Protection Professional training, certifications and career development Apply now to find out more about this Data Architect More ❯

Job title: Data Engineer Client: Award Winning FinTech Firm Rate: Up to £725 p/d Duration: 6-Month Rolling Contract | Long-Term Engagement Location: London Skills: Python/Azure/Databricks/Snowflake The Role: Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale. Transform raw data … into trusted, usable assets - the foundation for everything from executive dashboards to product innovation. Own the data flow from ingestion to insight - using modern tools like Python, Azure, and Databricks. What you need: 7+ years of hands-on experience in data engineering roles. Advanced skills in Python for data pipelines, transformation, and orchestration. Deep understanding of the Azure ecosystem (e.g., Data Factory, Blob Storage, Synapse, etc.) Proficiency in Databricks (or strong equivalent experience with Apache Spark ). Proven ability to work within enterprise-level environments with a focus on clean, scalable, and secure data solutions. If you are the right fit - contact me directly at bbirch@hunterbond.com More ❯

Job title: Data Engineer Client: Award Winning FinTech Firm Rate: Up to £725 p/d Duration: 6-Month Rolling Contract | Long-Term Engagement Location: London Skills: Python/Azure/Databricks/Snowflake The Role: Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale. Transform raw data … into trusted, usable assets - the foundation for everything from executive dashboards to product innovation. Own the data flow from ingestion to insight - using modern tools like Python, Azure, and Databricks. What you need: 7+ years of hands-on experience in data engineering roles. Advanced skills in Python for data pipelines, transformation, and orchestration. Deep understanding of the Azure ecosystem (e.g., Data Factory, Blob Storage, Synapse, etc.) Proficiency in Databricks (or strong equivalent experience with Apache Spark ). Proven ability to work within enterprise-level environments with a focus on clean, scalable, and secure data solutions. If you are the right fit - contact me directly at bbirch@hunterbond.com More ❯

Job title: Data Engineer Client: Award Winning FinTech Firm Rate: Up to £725 p/d Duration: 6-Month Rolling Contract | Long-Term Engagement Location: London Skills: Python/Azure/Databricks/Snowflake The Role: Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale. Transform raw data … into trusted, usable assets - the foundation for everything from executive dashboards to product innovation. Own the data flow from ingestion to insight - using modern tools like Python, Azure, and Databricks. What you need: 7+ years of hands-on experience in data engineering roles. Advanced skills in Python for data pipelines, transformation, and orchestration. Deep understanding of the Azure ecosystem (e.g., Data Factory, Blob Storage, Synapse, etc.) Proficiency in Databricks (or strong equivalent experience with Apache Spark ). Proven ability to work within enterprise-level environments with a focus on clean, scalable, and secure data solutions. If you are the right fit - contact me directly at bbirch@hunterbond.com More ❯

Job title: Data Engineer Client: Award Winning FinTech Firm Rate: Up to £725 p/d Duration: 6-Month Rolling Contract | Long-Term Engagement Location: London Skills: Python/Azure/Databricks/Snowflake The Role: Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale. Transform raw data … into trusted, usable assets - the foundation for everything from executive dashboards to product innovation. Own the data flow from ingestion to insight - using modern tools like Python, Azure, and Databricks. What you need: 7+ years of hands-on experience in data engineering roles. Advanced skills in Python for data pipelines, transformation, and orchestration. Deep understanding of the Azure ecosystem (e.g., Data Factory, Blob Storage, Synapse, etc.) Proficiency in Databricks (or strong equivalent experience with Apache Spark ). Proven ability to work within enterprise-level environments with a focus on clean, scalable, and secure data solutions. If you are the right fit - contact me directly at bbirch@hunterbond.com More ❯

global consultancy. What you'll do: Act as a trusted advisor to C-level stakeholders, leading strategic discussions and influencing decisions. Oversee large-scale cloud and data platform solutions (Azure, AWS, GCP), driving transformation and reusable data product strategies. Lead technical pre-sales efforts, shaping solution blueprints and proposals, and collaborating across global teams. What we're looking for … 10+ years in BI/DW/Analytics, including 4+ years in pre-sales/solutioning. Banking transformation expertise (regulatory reporting, finance/data modernisation). Strong cloud/data architecture skills (Azure/AWS/GCP, Databricks, Snowflake, Synapse). Data governance expertise and RFP/RFI leadership. Why apply? Senior, strategic role with real influence. More ❯

global consultancy. What you'll do: Act as a trusted advisor to C-level stakeholders, leading strategic discussions and influencing decisions. Oversee large-scale cloud and data platform solutions (Azure, AWS, GCP), driving transformation and reusable data product strategies. Lead technical pre-sales efforts, shaping solution blueprints and proposals, and collaborating across global teams. What we're looking for … 10+ years in BI/DW/Analytics, including 4+ years in pre-sales/solutioning. Banking transformation expertise (regulatory reporting, finance/data modernisation). Strong cloud/data architecture skills (Azure/AWS/GCP, Databricks, Snowflake, Synapse). Data governance expertise and RFP/RFI leadership. Why apply? Senior, strategic role with real influence. More ❯