17 of 17 Remote Azure Jobs in West London

complex, multi-disciplinary consulting engagements Deep knowledge of Kafka , Confluent , and event-driven architecture Hands-on experience with Databricks , Unity Catalog , and Lakehouse architectures Strong architectural understanding across AWS, Azure, GCP , and Snowflake Familiarity with Apache Spark, SQL/NoSQL databases, and programming (Python, R, Java) Knowledge of data visualisation, DevOps principles, and ML/AI integration into data More ❯

Strong knowledge of .NET (C#), SQL Server, SSIS/SSAS, T-SQL, and modern web frameworks (React/Angular/TypeScript) Experience with data engineering, ETL/ELT pipelines, Azure services (Data Factory, Synapse, Data Lake), CI/CD, and DevOps practices Ability to communicate complex concepts clearly to both technical and business stakeholders Collaborative mindset with a track More ❯

experience delivering AI and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication and client-facing skills. Knowledge of design patterns and optimisation techniques for large data solutions. A degree More ❯

programming. Continuous Integration/Continuous Delivery REST API development and/or consumption. Desirable skills/experience you may have Experience with Cloud Platforms such as AWS, GCP or Azure Docker, Kubernetes Jenkins, Gitlab CI. Additional Information: The application form consists of an online assessment, CV upload, followed by application questions. Please visit - jlpjobs.com/how-to-apply/ More ❯

within large-scale environments Deep knowledge of data modelling, architectural frameworks, and governance Proficient in data architecture tools like Sparx, Erwin, or Archi Experience delivering architectures for cloud platforms (Azure, AWS, GCP) Strong consulting skills with the ability to engage senior business and technical stakeholders Experience across multiple industries such as telecoms, finance, manufacturing, or public sector Background in More ❯

user and business requirements - Change management and chairing CAB - Improving efficiency through automating solutions - Oversee system enhancements and software upgrades - Oversee data engineering process - ETL/ELT pipelines with Azure Data Factory - Drive development of Snowflake Data Warehouse - Digital roadmap development - IT projects To be considered suitable you will need the following skills/experience: - Understanding of the Microsoft More ❯

in a flexible way to unlock your best work for our cause.? About you Experienced in designing and delivering complex learning programmes for both technical skills (e.g. Microsoft Dynamics, Azure, Power BI) and behavioural skills (e.g. communication), youll have previously experience managing complex learning programmes with multiple audiences, workstreams and stages, as well as experience in developing online learning More ❯

You will work on secure, cutting-edge solutions that make a tangible difference, alongside some of the brightest minds in technology. Technical Expertise Core tech stack: Terraform, AWS (preferred), Azure, CI/CD You will also bring experience in: 5+ years experience in platform engineering Programming in one or more languages: JavaScript, Java, .Net, Python Experience mentoring, coaching or … CI/CD tools (e.g. Bamboo, Jenkins, TeamCity, Bitbucket) Automated testing frameworks and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior 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 … 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 various stakeholders to fulfil business requirements. Key Experience, Skills and Knowledge: Experience leading data or platform teams in a production … 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 ❯

.NET Developer, C#, .NET 9, Angular 19, Web API 2 - Watford (Tech stack: .NET Developer, .NET 9, Web API 2, Entity Framework, Microservices, Azure, Programmer, Full Stack Engineer, Architect, .NET Developer) Have you ever thought about getting from London to Edinburgh in 30 minutes? My client, a world leader in aerospace technology, and has decided to undertake research into … information from the high speed tests that they are running on a daily basis. .NET Developer applicants should have knowledge of: .NET, .NET Core/ASP.NET MVC, C# and Azure SQL. They will provide training into: .NET 9, Web API 2, Entity Framework, Microservices, Azure, JavaScript, Angular 19, Bootstrap, Agile and MongoDB. All positions come with the following 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 … 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 various stakeholders to fulfil business requirements. Key Experience, Skills and Knowledge: Experience leading data or platform teams in a production … 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 … 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 various stakeholders to fulfil business requirements. Key Experience, Skills and Knowledge: Experience leading data or platform teams in a production … 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 ❯

a week onsite) Type: Full-time | Permanent Were looking for a talented Azure Integration Engineer to join a fast-paced consulting environment, delivering robust integration solutions using Microsoft Azure services. Key Requirements Essential Skills Hands-on experience with Azure Integration Services : Logic Apps, API Management, Service Bus, Event Grid, Function Apps Background in C# (.NET) or Java … development Understanding of REST APIs and integration patterns Strong communication, problem-solving, and client-facing skills Ability to work independently and collaboratively Desirable Skills Knowledge of BizTalk Server and Azure Data Factory Familiarity with integration frameworks (e.g., MuleSoft, Apache Camel) Experience with DevOps , CI/CD , Infrastructure as Code (e.g., Bicep, Terraform) Scripting skills with PowerShell or similar tools More ❯

best practice and guiding the junior team members What theyre specifically looking for: C# development experience (.Net 8) with production-level proficiency Data engineering data-intensive application experience Python Azure PaaS/SaaS tools (eg. Azure Functions, App Services, Batch, Blob/Table/Queue Storage) Excellent problem-solving skills Why join them: Its an entrepreneurial environment pushing 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 tools … 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 integrating … 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 ❯

Hybrid role Technical Architect Hybrid role Are you passionate about technology and eager to design innovative solutions that shape the future? My client is seeking an experienced and dynamic Azure Cloud Technical Architect to join their team and lead the way in crafting robust, scalable, and efficient systems that meet the needs of stakeholders. As a Technical Architect, you … technologies and products. Leverage vendors relationships to increase awareness of technology trends and assess all potential benefits To be considered for this excellent role you will need In depth Azure cloud knowledge, preferably Azure Solutions Architect Expect certified (AZ303+AZ304) Experience in facilitating meetings with project stakeholders to capture requirements Experience of logical and physical design of secure, efficient More ❯

solutions. This is an opportunity to own technical delivery, influence client architecture, and work with cutting-edge technologies such as Kafka, Databricks, Unity Catalog, and Cloud platforms like AWS, Azure, and GCP . Key Skills of the Lead Data Solution Architect: Proven experience as a Lead Data Solutions Architect , leading end-to-end delivery of complex data solutions. Extensive … expertise in data architecture design , including event-driven architectures (Kafka) and Data Lake/Lakehouse platforms . Hands-on experience with cloud platforms like AWS, Azure, GCP, or Snowflake. Strong knowledge of data governance, compliance, and security standards (GDPR, CCPA). Proficiency in big data technologies like Apache Spark and understanding of data product strategies. Strong leadership and stakeholder More ❯