26 to 50 of 129 Azure Synapse Analytics Jobs in London

quality engineering, software testing, or test automation . Familiarity with testing data pipelines, ETL/ELT workflows, and big data solutions . Experience with cloud-based data platforms , preferably Azure Databricks, Azure Data Factory, or Synapse Analytics . Basic experience with test automation frameworks (e.g., PyTest, Great Expectations, DBT tests, or similar). Proficiency in SQL … and scripting languages (e.g., Python, Scala) for test automation. Understanding of CI/CD and DevOps practices , with exposure to Azure DevOps, GitHub Actions, or Jenkins . Knowledge of data governance, security, and compliance best practices . Strong analytical and problem-solving skills , with a keen attention to detail. Ability to collaborate effectively with engineers, analysts, and business stakeholders. More ❯

You will be responsible for managing large-scale data pipelines, ensuring data quality and integrity, and supporting cross-functional teams with reliable and scalable data solutions—primarily using Microsoft Azure, Python, Databricks , as well as the integration of Microsoft Fabric . This role will require 3 days a week onsite in their state of the art office and will … remain a technically hands on role. Key Responsibilities Design, build, and manage scalable data pipelines and ETL/ELT processes in Azure Data Factory , Databricks , and other Azure services. Develop and maintain data models, data lakes, and data warehouses (e.g., Azure Synapse). Use Python for data manipulation, transformation, and automation tasks. Collaborate with data analysts More ❯

You will be responsible for managing large-scale data pipelines, ensuring data quality and integrity, and supporting cross-functional teams with reliable and scalable data solutions—primarily using Microsoft Azure, Python, Databricks , as well as the integration of Microsoft Fabric . This role will require 3 days a week onsite in their state of the art office and will … remain a technically hands on role. Key Responsibilities Design, build, and manage scalable data pipelines and ETL/ELT processes in Azure Data Factory , Databricks , and other Azure services. Develop and maintain data models, data lakes, and data warehouses (e.g., Azure Synapse). Use Python for data manipulation, transformation, and automation tasks. Collaborate with data analysts More ❯

Software Engineer with C# or Java and Azure Must have a bachelor's degree in computer science, software engineering, or a related field is required. Must have at least 4 to 6 years of progressively complex experience in a directly related area, during which both professional and technical capabilities have been clearly demonstrated. Coupled with at least 4 years … of design and development. experience with various relevant Microsoft platforms, tools, technologies, patterns, and techniques related to Azure tools, integration, and data is required. Experience with industry/domains like pharmaceutical, finance, HR, sales, marketing, and manufacturing is highly preferred. Experience with healthcare industry regulations, data security and compliance standards (e.g. GDPR), and EDI standards (e.g. FHIR, HL7), etc. … is very valuable. Developer certifications of Azure and/or Microsoft suite technologies is a big plus. Technical skills: In-depth knowledge and thorough experience in programming, configuring, and/or integrating using/with Azure integration tools like Data factory, LogicApps, Functions, API Management, Data catalog, WebApps, Integration service environment, configuring monitoring & diagnostics, etc., and connectivity & security More ❯

help clients unlock the full potential of their data assets. In this role, you’ll be instrumental in guiding organisations through the evolving landscape of data strategy, engineering, and analytics Key Responsibilities: Forge strong partnerships with clients and cross-functional teams, bridging the gap between business needs and technical solutions. Deliver high-impact work with precision, proactively identifying challenges … data pipelines (ETL/ELT) to ingest, transform, and deliver data from diverse sources. Required Skills & Experience: Deep expertise in building and deploying data solutions using platforms like Databricks (Azure/AWS) , Microsoft Fabric , Azure Data Factory , and Azure Synapse . Solid experience with the Microsoft data stack —including SSIS , SSAS , and SSRS . A strong … Kafka , or Snowflake . A comprehensive understanding of the data engineering lifecycle, including Agile delivery , DevOps , Git , APIs , containers , microservices , and pipeline orchestration . Nice to have: DP-203 Azure Data Engineering/Microsoft Certified: Fabric Analytics Engineer Associate The ideal candidate will be a self-motivated team player with a proven track record of delivering accurate, insightful More ❯

help clients unlock the full potential of their data assets. In this role, you’ll be instrumental in guiding organisations through the evolving landscape of data strategy, engineering, and analytics Key Responsibilities: Forge strong partnerships with clients and cross-functional teams, bridging the gap between business needs and technical solutions. Deliver high-impact work with precision, proactively identifying challenges … data pipelines (ETL/ELT) to ingest, transform, and deliver data from diverse sources. Required Skills & Experience: Deep expertise in building and deploying data solutions using platforms like Databricks (Azure/AWS) , Microsoft Fabric , Azure Data Factory , and Azure Synapse . Solid experience with the Microsoft data stack —including SSIS , SSAS , and SSRS . A strong … Kafka , or Snowflake . A comprehensive understanding of the data engineering lifecycle, including Agile delivery , DevOps , Git , APIs , containers , microservices , and pipeline orchestration . Nice to have: DP-203 Azure Data Engineering/Microsoft Certified: Fabric Analytics Engineer Associate The ideal candidate will be a self-motivated team player with a proven track record of delivering accurate, insightful More ❯

a Speciality Insurer a skilled and motivated Lead Data Engineer with Insurance experience to play a key role in the creation of a brand-new data platform within the Azure ecosystem and Databricks . This is an exciting opportunity to be at the forefront of data innovation, working within a newly formed Data & Analytics team in a long … the evolution of the data platform, ensuring adaptability for new data sources, analytical models, and emerging technologies. What You’ll Bring ✅ Extensive hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling expertise for analytics use cases. ✅ Strong ETL/ELT … in an agile, innovative environment. 📈 Career Growth – Play a pivotal role in driving data excellence within a forward-thinking business. 💡 Cutting-Edge Tech – Work with the latest advancements in Azure, Databricks, and Data Engineering . This is a fantastic opportunity for a Lead Data Engineer looking to make a tangible impact. If you’re ready to take on a More ❯

a Speciality Insurer a skilled and motivated Lead Data Engineer with Insurance experience to play a key role in the creation of a brand-new data platform within the Azure ecosystem and Databricks . This is an exciting opportunity to be at the forefront of data innovation, working within a newly formed Data & Analytics team in a long … the evolution of the data platform, ensuring adaptability for new data sources, analytical models, and emerging technologies. What You’ll Bring ✅ Extensive hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling expertise for analytics use cases. ✅ Strong ETL/ELT … in an agile, innovative environment. 📈 Career Growth – Play a pivotal role in driving data excellence within a forward-thinking business. 💡 Cutting-Edge Tech – Work with the latest advancements in Azure, Databricks, and Data Engineering . This is a fantastic opportunity for a Lead Data Engineer looking to make a tangible impact. If you’re ready to take on a More ❯

a Speciality Insurer a skilled and motivated Lead Data Engineer with Insurance experience to play a key role in the creation of a brand-new data platform within the Azure ecosystem and Databricks . This is an exciting opportunity to be at the forefront of data innovation, working within a newly formed Data & Analytics team in a long … the evolution of the data platform, ensuring adaptability for new data sources, analytical models, and emerging technologies. What You’ll Bring ✅ Extensive hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling expertise for analytics use cases. ✅ Strong ETL/ELT … in an agile, innovative environment. Career Growth – Play a pivotal role in driving data excellence within a forward-thinking business. Cutting-Edge Tech – Work with the latest advancements in Azure, Databricks, and Data Engineering . This is a fantastic opportunity for a Lead Data Engineer looking to make a tangible impact. If you’re ready to take on a More ❯

help clients unlock the full potential of their data assets. In this role, you’ll be instrumental in guiding organisations through the evolving landscape of data strategy, engineering, and analytics Key Responsibilities: Forge strong partnerships with clients and cross-functional teams, bridging the gap between business needs and technical solutions. Deliver high-impact work with precision, proactively identifying challenges … data pipelines (ETL/ELT) to ingest, transform, and deliver data from diverse sources. Required Skills & Experience: Deep expertise in building and deploying data solutions using platforms like Databricks (Azure/AWS) , Microsoft Fabric , Azure Data Factory , and Azure Synapse . Solid experience with the Microsoft data stack —including SSIS , SSAS , and SSRS . A strong … Kafka , or Snowflake . A comprehensive understanding of the data engineering lifecycle, including Agile delivery , DevOps , Git , APIs , containers , microservices , and pipeline orchestration . Nice to have: DP-203 Azure Data Engineering/Microsoft Certified: Fabric Analytics Engineer Associate The ideal candidate will be a self-motivated team player with a proven track record of delivering accurate, insightful More ❯

and technical capabilities have been clearly demonstrated. Your expertise must include design and development experience with various relevant Microsoft platforms, tools, technologies, patterns, and techniques related to MSFT suites, Azure tools, integration, and data is required. Experience with industry/domains like pharmaceutical, finance, HR, sales, marketing, and manufacturing is highly preferred. Experience with healthcare industry regulations, data security … and compliance standards (e.g. GDPR), and EDI standards (e.g. FHIR, HL7), etc. is very valuable. Developer certifications of Azure and/or Microsoft suite technologies is a big plus. A degree in computer science, software engineering, or a related field is required. Technical skills: In-depth knowledge and experience in programming, administrating, configuring, and integrating using/with MS … Office/MS Office 365 suite, SharePoint Online, Power Apps/Power Automate, GitHub, MS Teams, etc. In-depth knowledge & development experience using Azure integration tools like Data factory, Logic Apps, etc. Along with knowledge of utilizing Azure SQL Server, Data lake, etc. In-depth knowledge & experience using Visual Studio, with one of the programming languages: C#/ More ❯

scalable, secure, and high-performance data solutions. You’ll play a key role in architecting modern data platforms using Snowflake , SQL , Python , and leading cloud technologies to support advanced analytics, reporting, and machine learning initiatives across the business. Key Responsibilities: Design and maintain end-to-end data architectures, data models, and pipelines in Snowflake and cloud platforms (AWS, Azure … for complex querying, optimization, and stored procedures. Strong coding skills in Python for data transformation, scripting, and automation. Experience with cloud platforms such as AWS (e.g., S3, Redshift, Lambda) , Azure (e.g., Data Factory, Synapse) , or GCP (e.g., BigQuery, Cloud Functions) . Familiarity with data orchestration tools (e.g., Airflow, dbt) and version control (Git). Solid understanding of data More ❯

scalable, secure, and high-performance data solutions. You’ll play a key role in architecting modern data platforms using Snowflake , SQL , Python , and leading cloud technologies to support advanced analytics, reporting, and machine learning initiatives across the business. Key Responsibilities: Design and maintain end-to-end data architectures, data models, and pipelines in Snowflake and cloud platforms (AWS, Azure … for complex querying, optimization, and stored procedures. Strong coding skills in Python for data transformation, scripting, and automation. Experience with cloud platforms such as AWS (e.g., S3, Redshift, Lambda) , Azure (e.g., Data Factory, Synapse) , or GCP (e.g., BigQuery, Cloud Functions) . Familiarity with data orchestration tools (e.g., Airflow, dbt) and version control (Git). Solid understanding of data More ❯

Metyis is growing! We are looking for a Data Engineering Associate with 3-4 years of experience to join our Data and Analytics team in London. Who we are Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. Our long … lakes, data vault, 3NF). Advanced SQL skills, including data transformation and profiling. Experience building scalable production ETL/ELT pipelines. 1-2 years of hands-on experience with Azure services such as Data Factory, Databricks, Synapse (DWH), Azure Functions, and other data analytics tools, including streaming. Experience with Airflow and Kubernetes. Programming skills in Python More ❯

Metyis is growing! We are looking for a Data Engineering Associate with 3-4 years of experience to join our Data and Analytics team in London. Who we are Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis … vault, 3NF). Advanced SQL, data transformation and data profiling skills. Experience of building production ETL/ELT pipelines at scale. 1-2 years of hands on experience with Azure: Data factory, Databricks, Synapse (DWH), Azure Functions, App logic and other data analytics services, including streaming. Experience with Airflow and Kubernetes. Programming languages: Python (PySpark), scripting More ❯

migration. Implement POC with limited developer support. Provide expert advice to product teams on best way to use existing services and utilities from the repository. Design and lead the Azure DevOps implementation for data platform. Define logical and physical data models. Lead: Lead the development team in best practice DevOps processes. Engage in and improve the whole lifecycle of … teams/architecture team and a wider community internally and externally. Operational Reliability: Act as the technical point of contact on the platform for the cloud service providers (e.g. Azure) to ensure the Platform is operational and is able to meet the service levels of the products using the platform. Support services before they go live through activities such … monitoring requirements for the platform. Identify and execute pro-active actions to ensure continued stability and performance of the platform. Our ideal candidate: Strong experience in Designing and delivering Azure based data platform solutions, technologies including: Azure Data Bricks, Azure Synapse Analytics. Azure MS SQL Managed Service/Azure PostgreSQL. Azure ADF and More ❯

to explain technical concepts to non-technical stakeholders Preferred Requirement 2-3 years' professional experience in data analysis, business intelligence, or a related field Experience with Microsoft Fabric or Azure Synapse Analytics Strong experience with Microsoft Power Platform (PowerBI (Strong DAX Skills) - Power Automate) Knowledge of accounting or financial services data structures Experience with API development and More ❯

to explain technical concepts to non-technical stakeholders Preferred Requirement 2-3 years' professional experience in data analysis, business intelligence, or a related field Experience with Microsoft Fabric or Azure Synapse Analytics Strong experience with Microsoft Power Platform (PowerBI (Strong DAX Skills) - Power Automate) Knowledge of accounting or financial services data structures Experience with API development and More ❯

while proactively enhancing data throughput, scalability, and resource efficiency. Platform & Tool Expertise: Provide expert support for data tools, platforms, and technologies, including relational/NoSQL databases, cloud platforms (AWS, Azure, Google Cloud), data warehousing, and ETL frameworks, while mentoring junior team members on best practices. Automation & Monitoring: Implement and support automated monitoring systems to detect data anomalies, system failures … . o Proficiency in one or more programming languages (e.g., Python, Scala, Java) for data integration, automation, and problem-solving. o In-depth experience with cloud data platforms (AWS, Azure, Google Cloud) and Microsoft services (e.g., Azure Storage, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, Microsoft Fabric, Microsoft Purview). o Deep More ❯

new data sources (e.g. D365) into the enterprise data warehouse Design scalable data models and perform source-to-target mapping Build and automate ETL pipelines using SQL, SSIS, and Azure Data Factory Support BI delivery, UAT testing, and project work across teams Contribute to our cloud shift using Azure Synapse and Databricks Maintain technical documentation and support … data governance Tech Stack Platforms: SQL Server, Azure Synapse, Databricks ETL: SSIS (2014–2022), Azure Data Factory BI Tools: Power BI Other: Power Apps, Power Automate, Python or R About You Experienced Data Engineer with strong ETL, SQL, and data modelling skills Proficient in the Microsoft data stack Confident working in Agile teams and regulated environments Strong More ❯

new data sources (e.g. D365) into the enterprise data warehouse Design scalable data models and perform source-to-target mapping Build and automate ETL pipelines using SQL, SSIS, and Azure Data Factory Support BI delivery, UAT testing, and project work across teams Contribute to our cloud shift using Azure Synapse and Databricks Maintain technical documentation and support … data governance Tech Stack Platforms: SQL Server, Azure Synapse, Databricks ETL: SSIS (2014–2022), Azure Data Factory BI Tools: Power BI Other: Power Apps, Power Automate, Python or R About You Experienced Data Engineer with strong ETL, SQL, and data modelling skills Proficient in the Microsoft data stack Confident working in Agile teams and regulated environments Strong More ❯

candidate will have a strong mix of business acumen, technical expertise, and excellent communication skills. Key Responsibilities: Client Engagement & Business Analysis Engage with business stakeholders to understand their reporting, analytics, and data visualization needs Conduct discovery workshops to gather requirements, define use cases, and assess data sources Translate business requirements into clear functional and technical specifications Provide recommendations on … Act as a trusted advisor to clients on Power ON strategies and future enhancements Qualifications Preferred Qualifications & Experience: Bachelor’s or Master’s degree in Mathematics, Computer Science, Data Analytics, Business Intelligence, or a related field Experience in Power BI development and business intelligence consulting Experience in industries such as finance, healthcare, retail, or manufacturing is a plus Microsoft … BI Service, DAX, and M Query) Experience designing data models and ETL processes within Power BI Proficiency in SQL for querying and transforming data from various sources Understanding of Azure services (e.g., Azure Synapse, Azure Data Factory, Azure SQL) Knowledge of Power Automate and Power Apps integration with Power BI Experience with non-Microsoft data More ❯

candidate will have a strong mix of business acumen, technical expertise, and excellent communication skills. Key Responsibilities: Client Engagement & Business Analysis Engage with business stakeholders to understand their reporting, analytics, and data visualization needs Conduct discovery workshops to gather requirements, define use cases, and assess data sources Translate business requirements into clear functional and technical specifications Provide recommendations on … Act as a trusted advisor to clients on Power ON strategies and future enhancements Qualifications Preferred Qualifications & Experience: Bachelor’s or Master’s degree in Mathematics, Computer Science, Data Analytics, Business Intelligence, or a related field Experience in Power BI development and business intelligence consulting Experience in industries such as finance, healthcare, retail, or manufacturing is a plus Microsoft … BI Service, DAX, and M Query) Experience designing data models and ETL processes within Power BI Proficiency in SQL for querying and transforming data from various sources Understanding of Azure services (e.g., Azure Synapse, Azure Data Factory, Azure SQL) Knowledge of Power Automate and Power Apps integration with Power BI Experience with non-Microsoft data More ❯

GCSE level or equivalent in Maths and English (Grades A - C) Bachelor's degree in computer science, Information Systems, or a related field Experience with cloud data platforms (e.g., Azure Data Factory, Azure Data Lake Gen 2, Azure Synapse Analytics) Knowledge of data modeling and database design Exposure to Agile or DevOps environments Experience with More ❯

data capability and building a new data platform. About the Role You will be part of a diverse group of engineers and machine learning experts, working with cutting-edge Azure cloud technologies, including Microsoft Fabric and related services. Your mission is to design reliable, efficient data pipelines that enable the business to access trusted, well-structured data. You will … also focus on building and scaling the core data infrastructure that supports advanced analytics and machine learning efforts across the business. Responsibilities Design and develop end-to-end data pipelines that ingest, transform, and prepare data for analytics and machine learning workflows. Work with Infrastructure as Code, primarily Terraform, to automate and manage cloud infrastructure, enabling repeatable and … scientists, MLEs, and business teams in an agile environment to deliver data solutions that support key firm initiatives. Build scalable and efficient batch and streaming data workflows within the Azure ecosystem. Apply distributed processing techniques using Apache Spark to handle large datasets effectively. Help drive improvements in data quality, implementing validation, cleansing, and monitoring frameworks. Contribute to the firm More ❯