1,001 to 1,025 of 3,344 Azure Jobs in the UK excluding London

the 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 ❯

delivery 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 ❯

production-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 ❯

data 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 ❯

data 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 ❯

/analytics platforms. Understanding of the software development lifecycle with a data-centric lens. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Proven experience translating data and analytics requirements into actionable backlog items. Knowledge of regulatory and compliance frameworks (e.g., GDPR, CCPA) as it pertains to data products. Who you More ❯

and 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 ❯

and 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 ❯

and 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 ❯

and 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 ❯

or 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 ❯

drive 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 ❯

technology 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 ❯

technology 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 ❯

level). 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 ❯

the 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 ❯

and strategy, while learning from experienced team members. We are looking for experience in the following skills: Commercial experience in one or more major cloud platform(s) (AWS, GCP, Azure), preferably with relevant certifications. A background working in development, engineering or technical business analysis, with a desire to transition into the world of Architecture. Knowledge across key principles including More ❯

working together to solve problems, deliver outcomes, and building and operating highly available, scale and performant consumer-facing solutions Experience of building and designing cost optimised Cloud platforms (preferably Azure) from the ground up, following well architected principles Solid understanding of platform and reliability engineering approaches (SRE), including observability, performance optimisation, capturing analytics and security best practices Experience implementing More ❯

to build your professional expertise within Architecture. Qualification We are looking for experience in the following skills: Commercial experience in one or more major cloud platform(s) (AWS, GCP, Azure), preferably with relevant certifications. A background working in development, engineering or technical business analysis, with a desire to transition into the world of Architecture. Knowledge across key principles including More ❯

Strategies Experience in major enterprise architecture engagements e.g. application optimisation/rationalisation, re-platforming, modernization of enterprise data architecture Certified in COBIT, TOGAF, DCAM and/or AWS/Azure/GCP solution architecture Knowledge of DAMA-DMBOK Familiarity with applying key frameworks such as APQC Process Classification Framework, Zachman Framework, ITIL and Scaled Agile Framework What's in More ❯

Strategies Experience in major enterprise architecture engagements e.g. application optimisation/rationalisation, re-platforming, modernization of enterprise data architecture Certified in COBIT, TOGAF, DCAM and/or AWS/Azure/GCP solution architecture Knowledge of DAMA-DMBOK Familiarity with applying key frameworks such as APQC Process Classification Framework, Zachman Framework, ITIL and Scaled Agile Framework What's in More ❯

of microservices architecture. •Extensive experience with modern databases like PostgreSQL, MySQL, and MongoDB, ensuring data is fast, reliable, and secure. •Comfortable in the cloud - experienced with platforms like AWS, Azure, or GCP - and familiar with containerization tools like Docker. •A natural problem solver with sharp prioritization skills, balancing speed with technical excellence. •Inspiring leader and communicator, driven to mentor More ❯

of microservices architecture. •Extensive experience with modern databases like PostgreSQL, MySQL, and MongoDB, ensuring data is fast, reliable, and secure. •Comfortable in the cloud - experienced with platforms like AWS, Azure, or GCP - and familiar with containerization tools like Docker. •A natural problem solver with sharp prioritization skills, balancing speed with technical excellence. •Inspiring leader and communicator, driven to mentor More ❯

of microservices architecture. •Extensive experience with modern databases like PostgreSQL, MySQL, and MongoDB, ensuring data is fast, reliable, and secure. •Comfortable in the cloud - experienced with platforms like AWS, Azure, or GCP - and familiar with containerization tools like Docker. •A natural problem solver with sharp prioritization skills, balancing speed with technical excellence. •Inspiring leader and communicator, driven to mentor More ❯

of microservices architecture. •Extensive experience with modern databases like PostgreSQL, MySQL, and MongoDB, ensuring data is fast, reliable, and secure. •Comfortable in the cloud - experienced with platforms like AWS, Azure, or GCP - and familiar with containerization tools like Docker. •A natural problem solver with sharp prioritization skills, balancing speed with technical excellence. •Inspiring leader and communicator, driven to mentor More ❯