1 to 25 of 208 Permanent Azure Synapse Analytics Jobs in London

share our passion for ideas and commitment to excellence, we want you to join us. To learn more visit alti-global.com. Job Description & Overview The Head of Data Engineering & Analytics will lead the development and execution of AlTi’s enterprise data engineering strategy, enabling the capture, transformation, storage and delivery of high-quality data across the firm’s global … and governance frameworks. This is a pivotal role in AlTi’s shift toward becoming a data-driven organization, with significant influence over our platform architecture, data quality standards, and analytics solutions. It will partner closely with both technology teams and business stakeholders. Job Responsibilities Develop and lead a high-performing global data engineering team, championing excellence in data timeliness … ensure timely and accurate data flow across key business platforms including Addepar, NetSuite, Salesforce, and other external and internal applications. Manage cloud-based data infrastructure on platforms such as Azure, Amazon Web Services, or Google Cloud Platform, with focus on cost optimization, stability, scalability, and performance. Collaborate with business analytics and data science teams to ensure data environments 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 ❯

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 ❯

Be Doing Lead and coordinate a team of MI Analysts, Data Analysts, and BI Developers to deliver insightful analysis and reporting supporting business managers. Own the MI, BI, and Analytics function, working with operational leaders to ensure reporting meets business needs. Ensure compliance with policies, procedures, legislative, and regulatory requirements while maintaining excellent internal customer service. Develop and execute … plus. Proficient in SQL, R or Python, data visualisation, statistical programming, and data science techniques. Strong understanding of data warehousing, data mapping, logical modelling, and business analysis. Experience with Azure data tools and Power BI. Proven ability to lead and influence technical teams. Experience with project management and Agile methodologies. Strong communication skills, capable of explaining technical concepts to … technical audiences. Problem-solving skills with a business focus and stakeholder management experience. Knowledge of change management and systems processes. Comfortable with cloud platforms and Microsoft stack tools like Synapse, Databricks, Azure Data Factory, and Azure DevOps. Programming experience in Python, SQL, T-SQL, and SSIS. Understanding of ELT/ETL processes, RESTful APIs, and integration concepts. More ❯

Be Doing Lead and coordinate a team of MI Analysts, Data Analysts, and BI Developers to deliver insightful analysis and reporting supporting business managers. Own the MI, BI, and Analytics function, working with operational leaders to ensure reporting meets business needs. Ensure compliance with policies, procedures, legislative, and regulatory requirements while maintaining excellent internal customer service. Develop and execute … plus. Proficient in SQL, R or Python, data visualisation, statistical programming, and data science techniques. Strong understanding of data warehousing, data mapping, logical modelling, and business analysis. Experience with Azure data tools and Power BI. Proven ability to lead and influence technical teams. Experience with project management and Agile methodologies. Strong communication skills, capable of explaining technical concepts to … technical audiences. Problem-solving skills with a business focus and stakeholder management experience. Knowledge of change management and systems processes. Comfortable with cloud platforms and Microsoft stack tools like Synapse, Databricks, Azure Data Factory, and Azure DevOps. Programming experience in Python, SQL, T-SQL, and SSIS. Understanding of ELT/ETL processes, RESTful APIs, and integration concepts. More ❯

Be Doing Lead and coordinate a team of MI Analysts, Data Analysts, and BI Developers to deliver insightful analysis and reporting supporting business managers. Own the MI, BI, and Analytics function, working with operational leaders to ensure reporting meets business needs. Ensure compliance with policies, procedures, legislative, and regulatory requirements while maintaining excellent internal customer service. Develop and execute … plus. Proficient in SQL, R or Python, data visualisation, statistical programming, and data science techniques. Strong understanding of data warehousing, data mapping, logical modelling, and business analysis. Experience with Azure data tools and Power BI. Proven ability to lead and influence technical teams. Experience with project management and Agile methodologies. Strong communication skills, capable of explaining technical concepts to … technical audiences. Problem-solving skills with a business focus and stakeholder management experience. Knowledge of change management and systems processes. Comfortable with cloud platforms and Microsoft stack tools like Synapse, Databricks, Azure Data Factory, and Azure DevOps. Programming experience in Python, SQL, T-SQL, and SSIS. Understanding of ELT/ETL processes, RESTful APIs, and integration concepts. More ❯

Job Description Job Title: QA Tester – ETL Testing (Informatica) & Azure Data Engineering Location: Westminster, London Type: Full-time Department: Quality Assurance/Data Engineering Reporting to: Data Engineering Lead Job Summary: We are looking for a skilled and detail-oriented QA Tester with hands-on experience in ETL testing (Informatica or Microsoft Fabric) and a strong understanding of Azure Data Engineering tools such as Azure SQL Database , Azure Blob Storage , and Azure Data Factory . The ideal candidate will possess good hands-on knowledge of writing and executing SQL queries to validate data across systems. Experience in Microsoft Fabric is considered a strong bonus. Key Responsibilities: Perform ETL/data pipeline testing using Informatica PowerCenter … or IICS . Validate data ingestion , transformation , and loading processes across Azure services. Execute source-to-target data validation , data profiling, and data reconciliation. Write and execute complex SQL queries to validate data transformations, aggregations, and business rules in Azure SQL Database and other relational platforms. Test data flows and integrations involving: Azure Data Factory (ADF) Azure More ❯

Job Summary: We are looking for a skilled and detail-oriented QA Tester with hands-on experience in ETL testing (Informatica or Microsoft Fabric) and a strong understanding of Azure Data Engineering tools such as Azure SQL Database , Azure Blob Storage , and Azure Data Factory . The ideal candidate will possess good hands-on knowledge of … Microsoft Fabric is considered a strong bonus. Key Responsibilities: Perform ETL/data pipeline testing using Informatica PowerCenter or IICS . Validate data ingestion , transformation , and loading processes across Azure services. Execute source-to-target data validation , data profiling, and data reconciliation. Write and execute complex SQL queries to validate data transformations, aggregations, and business rules in Azure … relational platforms. Test data flows and integrations involving: Analyze data mapping specifications and support data quality and audit initiatives. Log, track, and retest defects using tools like JIRA or Azure DevOps . Collaborate closely with developers, data engineers, and business analysts. Contribute to daily Agile ceremonies and maintain clear and detailed QA documentation. Required Skills & Experience: 3–7 years More ❯

of our highly skilled data platform engineering team. Together, we are building a secure, scalable, and efficient data platform to empower Axpo’s decentralized business hubs with self-service analytics and AI capabilities. We work in close collaboration with stakeholders across Europe, bringing together global innovation and local context. What You Will Do As a Databricks Solution Architect, you …/CD, and infrastructure-as-code. Promote and govern usage of Unity Catalog for access control, lineage, and metadata management. Champion platform observability, data quality, and operational monitoring across analytics pipelines. Evaluate new Databricks features (e.g., Delta Sharing, governance enhancements) and lead their integration into platform capabilities. Establish solution review processes and mentor engineers and analysts on architectural thinking … of Delta Lake, Lakehouse architecture, and Unity Catalog governance. Expertise in Python, SQL, and optionally Scala; strong familiarity with dbt and modern ELT practices. Proven experience integrating Databricks with Azure services (e.g., Data Lake, Synapse, Event Hubs). Hands-on knowledge of CI/CD, GitOps, Terraform, and orchestration tools (e.g., Dragster, Airflow). Sound understanding of enterprise 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 ❯

mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home … a key role in crafting data platforms, models, and pipelines that inform strategic decision-making for our customers and prepare data for a variety of use cases from simple analytics to Generative AI and Data Science. This role reports into our Principal Data Engineer. Your Role Collaborate and Innovate: Partner with internal and customer stakeholders to understand business needs … flexible blend of remote and on-site work. Contribute to Accelerators: Help evolve Ascent’s Data accelerators, patterns, and metadata frameworks, enabling rapid implementation of effective solutions. Your Skills Azure Data Engineering: Proven success as an Azure Data Engineer, with the ability to consult, advise, engineer, and optimize data products and assets. Azure Data Products: Expertise in More ❯

mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home … key role in crafting the data platforms, models, and pipelines that inform strategic decision-making for our customers and prepare data for a plethora of use cases from simple analytics to Generative AI and Data Science. This role reports into our Principal Data Engineer. Your Role As a Senior Data Engineer, you will: Collaborate and Innovate: Partner with both … Contribute to Accelerators: Help evolve Ascent’s Data accelerators, patterns and metadata frameworks, enabling customers to rapidly implement effective solutions from both a technology and business perspective. Your Skills Azure Data Engineering: Proven success as an Azure Data Engineer, with the ability to consult, advise, engineer and optimise our customers data products and assets. Azure Data Products More ❯

professional with a strong foundation in modern data platforms and engineering practices. Key technical competencies include: Databricks Platform Expertise : Proven experience designing and delivering data solutions using Databricks on Azure or AWS. Databricks Components : Proficient in Delta Lake, Unity Catalog, MLflow, and other core Databricks tools. Programming & Query Languages : Strong skills in SQL and Apache Spark (Scala or Python … Warehousing, Master Data Management, and Business Intelligence. Engineering Delivery Practices : Solid understanding of Agile, DevOps, Git, APIs, Containers, Microservices, and Data Pipelines. Modern Data Tools : Experience with Kafka, Snowflake, Azure Data Factory, Azure Synapse, or Microsoft Fabric (highly desirable). Data Architecture Frameworks : Knowledge of Inmon, Kimball, and Data Vault methodologies. Nice to have certifications Databricks Certified … a dynamic, integrated team. Stays ahead of industry trends, standards, and regulatory developments. If you're passionate about data, and you're looking to join a leading data and analytics company based in the UK, you could find your dream role at Dufrain. Please submit your CV highlighting your relevant experience and certifications. Applicants must have the right to 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 ❯

transformation and is seeking a skilled Data Engineer to join its growing data team. This role plays a key part in building and deploying modern data solutions based on Azure Databricks, enabling faster and more informed business decisions. You'll work hands-on with Azure Databricks, Azure Data Factory, Delta Lake, and Power BI to design scalable … the future of data within the organisation while working with advanced cloud technologies. Key Responsibilities and Deliverables Design, develop, and optimise end-to-end data pipelines (batch & streaming) using Azure Databricks, Spark, and Delta Lake. Implement Medallion Architecture to structure raw, enriched, and curated data layers efficiently. Build scalable ETL/ELT processes with Azure Data Factory and … PySpark. Support data governance initiatives using tools like Azure Purview and Unity Catalog for metadata management, lineage, and access control. Ensure consistency, accuracy, and reliability across data pipelines. Collaborate with analysts to validate and refine datasets for reporting. Apply DevOps and CI/CD best practices (Git, Azure DevOps) for automated testing and deployment. Optimise Spark jobs, Delta 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 ❯

experiences. As a Senior Consultant at TTEC Digital, you will lead the design, development, and delivery of enterprise-grade business intelligence solutions using Microsoft Power BI and the broader Azure data platform. This role focuses on enabling data-driven decision-making by transforming complex data into actionable insights for strategic customers. You will act as a trusted advisor, collaborating … to-end delivery of Power BI solutions, from requirements gathering and data modelling to dashboard design and deployment, ensuring alignment with client objectives. Engage with enterprise customers to define analytics strategies, develop KPIs, and translate business needs into technical specifications, fostering strong stakeholder relationships. Design and optimize semantic data models using Power BI and Azure Analysis Services, applying … in DAX and Power Query (M). Drive governance, security (e.g., Row-Level Security, workspace management), and performance tuning best practices for enterprise BI environments. Integrate Power BI with Azure Data Services (e.g., Azure Synapse, Data Lake, Databricks) and M365 platforms, with familiarity in Power Platform and Microsoft Fabric where applicable. Deliver hands-on workshops, coaching sessions More ❯

Data Engineering Consultant (all levels) We’re working with a globally recognised consultancy that delivers cutting-edge digital, data, and analytics solutions to some of the most complex infrastructure projects across the UK and beyond. With a strong commitment to technical excellence, inclusion, and client impact, they partner with high-profile organisations to help them unlock the full potential … at various seniority levels — from experienced engineers to those ready to step into leadership roles. The Role As a Data Engineering Consultant, you will: Collaborate with stakeholders across development, analytics, and business teams to define and implement components of the data landscape in line with strategic data goals Translate business and end-user needs into robust technical solutions, delivery … new technologies, and drive technical innovation across client projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python More ❯

Data Engineering Consultant (all levels) We’re working with a globally recognised consultancy that delivers cutting-edge digital, data, and analytics solutions to some of the most complex infrastructure projects across the UK and beyond. With a strong commitment to technical excellence, inclusion, and client impact, they partner with high-profile organisations to help them unlock the full potential … at various seniority levels — from experienced engineers to those ready to step into leadership roles. The Role As a Data Engineering Consultant, you will: Collaborate with stakeholders across development, analytics, and business teams to define and implement components of the data landscape in line with strategic data goals Translate business and end-user needs into robust technical solutions, delivery … new technologies, and drive technical innovation across client projects Document processes and contribute to internal knowledge repositories and best practice libraries Key Skills & Experience Strong hands-on experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python More ❯

requirements. Collaborate with clients to understand their business needs and translate them into technical solutions. Develop and maintain data pipelines, data warehouses, and data lakes using tools such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks. Implement machine learning models and AI algorithms using frameworks like Azure Machine Learning, Microsoft Cognitive Services … or a related field. Experience with big data technologies such as Hadoop, Spark, or Kafka. Experience with data visualization tools such as Power BI, Tableau, or Qlik. Certifications in Azure data and AI technologies. Benefits Salary: We offer a competitive, market-aligned salary, that reflects the skills and experience of each candidate. Our commitment to providing a fair and 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 ❯

driven and AI-powered software solutions on Microsoft technologies. The role focuses on rapid prototyping, proofs of concept, and production hand-over of AI solutions that leverage AI Foundry, Azure OpenAI, Microsoft Fabric, Copilot Studio, Power Platform and wider Azure services. Working under the guidance of senior engineers, the Data & AI Solutions Developer turns business and technical requirements … our clients. Key Responsibilities • Solution development - Build data pipelines, semantic models, AI solutions, and application components using AI Foundry, Microsoft Fabric (Data Factory, Lakehouse, Warehouse, Power BI), Copilot Studio, Azure Functions, and Power Apps. Comfortable using non-Microsoft stack solutions and services if/when required. • Rapid prototyping & demos - Create and iterate PoCs that showcase technical feasibility and business … sample datasets, user flows and visualisations. • Code quality & DevOps - Follow Git-based workflows, write unit tests, participate in pull-request reviews, and contribute to CI/CD pipelines in Azure DevOps or GitHub Actions. • Documentation & knowledge sharing - Produce clear technical documentation, hand-over guides and demo scripts; present findings to internal teams and customers. • Collaboration & support - Work closely with More ❯