1,076 to 1,100 of 3,531 Microsoft-Azure Jobs in the UK excluding London

expertise and a track record of building scalable, high-performance systems in fast-moving, product-led environments. You're confident with RESTful APIs, microservices, cloud platforms (AWS/Azure/GCP), and modern databases. A natural problem-solver and mentor, you thrive in collaborative teams and love shaping tech culture while delivering real business impact. At ASK BOSCO More ❯

expertise and a track record of building scalable, high-performance systems in fast-moving, product-led environments. You're confident with RESTful APIs, microservices, cloud platforms (AWS/Azure/GCP), and modern databases. A natural problem-solver and mentor, you thrive in collaborative teams and love shaping tech culture while delivering real business impact. At ASK BOSCO More ❯

expertise and a track record of building scalable, high-performance systems in fast-moving, product-led environments. You're confident with RESTful APIs, microservices, cloud platforms (AWS/Azure/GCP), and modern databases. A natural problem-solver and mentor, you thrive in collaborative teams and love shaping tech culture while delivering real business impact. At ASK BOSCO More ❯

proactive in your approach to learning and delivery. Would be great, but not essential if you also have: Experience working with Storybook and Atomic Design principles. Exposure to Azure services (AWS or other cloud backgrounds also welcomed). Awareness of TDD/BDD practices. Familiarity with Agile methodologies like Scrum or SAFe. Familiarity with Playwright end-to-end More ❯

mentoring solution architects or guiding architectural direction across programmes A solid understanding of OT environments including SCADA systems, embedded controls, and remote operational sites Familiarity with cloud platforms (Azure or AWS), hybrid hosting, and networking principles Strong grasp of architecture frameworks (TOGAF preferred) and delivery approaches (Agile and Waterfall) Excellent stakeholder engagement, collaboration, and communication skills Additional experience More ❯

clients. Technical Expertise Hands-on experience with at least one major SIEM platform (e.g. Splunk, Sentinel or QRadar) and familiarity with cloud security tools such as AWS GuardDuty, Azure Security Center, or Google Cloud Security. Background in client-facing roles or consulting, with the ability to communicate complex technical concepts clearly and effectively to clients Relevant cybersecurity certifications More ❯

ready pipelines Solid experience with SQL for data manipulation Deep understanding of data modelling, ETL processes, and relational databases Experience with big data technologies and cloud platforms, ideally Azure Exposure to embedding models, vector search, and scalable deployment of LLM-powered solutions Other information Company Benefits and Initiatives Include: 25 days annual leave in addition to bank holidays More ❯

ready pipelines Solid experience with SQL for data manipulation Deep understanding of data modelling, ETL processes, and relational databases Experience with big data technologies and cloud platforms, ideally Azure Exposure to embedding models, vector search, and scalable deployment of LLM-powered solutions Other information Company Benefits and Initiatives Include: 25 days annual leave in addition to bank holidays More ❯

sun approaches Experience in at least 3 of the following: Google Cloud Platform Kubernetes Networking (including VPN, firewall & routing) Java/Apache support & troubleshooting Other cloud platforms (eg Azure, AWS) Linux OS/Windows OS Linux automation and scripting Ability to understand and distil complex information into high level views and reports for a variety of audiences with More ❯

of data engineering projects in a consultancy or client-facing environment You're experienced with Python, SQL, .NET, dbt, Airflow and cloud-native data tools (AWS, GCP or Azure) You have strong knowledge of data architecture patterns - including Lakehouse and modern warehouse design (e.g. Snowflake, BigQuery, Databricks) You know how to build with performance, security and maintainability in More ❯

grade AI solutions. Proficiency in Python and ML libraries (e.g. Semantic Kernel, Langchain, agentic frameworks). Experience deploying models using APIs, containers, or cloud-native services. Familiarity with Azure and infrastructure-as-code tools. Strong understanding of data engineering, including feature engineering and pipeline orchestration. Experience with version control (e.g. Git), CI/CD pipelines, and automated testing. More ❯

streaming/processing technologies (Kafka, Spark). Data modelling and governance proficiency, covering conceptual, logical, and physical architectures, metadata management. Cloud data technologies: experience architecting solutions on AWS, Azure, or GCP, optimising cost, performance, and security. Proven ability to design and implement data governance tools and data literacy programs, fostering a responsible, data-savvy culture. Analysis and design More ❯

streaming/processing technologies (Kafka, Spark). Data modelling and governance proficiency, covering conceptual, logical, and physical architectures, metadata management. Cloud data technologies: experience architecting solutions on AWS, Azure, or GCP, optimising cost, performance, and security. Proven ability to design and implement data governance tools and data literacy programs, fostering a responsible, data-savvy culture. Analysis and design More ❯

expertise and a track record of building scalable, high-performance systems in fast-moving, product-led environments. You're confident with RESTful APIs, microservices, cloud platforms (AWS/Azure/GCP), and modern databases. A natural problem-solver and mentor, you thrive in collaborative teams and love shaping tech culture while delivering real business impact. At ASK BOSCO More ❯

best practices and mentoring individuals in their application Practical software development in one or more common languages, such as Java, C# or JavaScript Cloud platforms, particularly AWS or Azure Following an agile development methodology, such as SCRUM or SAFe Driving innovation within a team of engineers to find new solutions to difficult problems It would be great if More ❯

best practices and mentoring individuals in their application Practical software development in one or more common languages, such as Java, C# or JavaScript Cloud platforms, particularly AWS or Azure Following an agile development methodology, such as SCRUM or SAFe Driving innovation within a team of engineers to find new solutions to difficult problems It would be great if More ❯

Power BI. Experience with building, maintaining and optimising Tabular Models. Experience with T-SQL development (with an emphasis on Data Warehousing) using recent versions of SQL Server or Azure SQL database. Experience with reporting mechanisms such as queries, shared datasets, data sources, data cubes and data models. Experience with a Data Warehouse development lifecycle and an understanding of More ❯

applied machine learning. Proficiency in Python and ML libraries (e.g. Semantic Kernel, Langchain, agentic frameworks). Experience deploying models using APIs, containers, or cloud-native services. Familiarity with Azure and infrastructure-as-code tools. Strong understanding of data engineering, including feature engineering and pipeline orchestration. Experience with version control (e.g. Git), CI/CD pipelines, and automated testing. More ❯

sustained business results. Proficiency in the Python data science tech stack (pandas, scikit-learn, NumPy, and visualisation libraries) Experience working in a Linux-based cloud environment (e.g. GCP, Azure, AWS). Experience using git version control. Communication, stakeholder management, and problem-solving skills are critical. Presentation skills for explaining complex analytics solutions to diverse audiences. Qualifications: Necessary Qualifications More ❯

areas - such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at More ❯

areas - such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at More ❯

areas such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at More ❯

areas such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at More ❯

. Willingness to travel to client sites. Desirable Skills Strong knowledge of technologies used to deliver end-to-end cloud solutions. Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud). Proven experience designing complex systems in secure or regulated environments. Familiar with a range of cloud programming and management tools. Experienced at delivering hybrid cloud solutions More ❯

ability to guide and develop engineering teams Deep expertise in designing and implementing data architectures, data pipelines, and ETL processes Hands-on experience with cloud platforms (GCP, AWS, Azure) and their data-specific services Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT) Experience with modern data warehouse technologies (BigQuery, Snowflake, Redshift, etc.) Strong understanding of More ❯