1 to 25 of 121 Azure Jobs in Slough

leading Microsoft Partner is seeking an experienced Azure Architect to join their growing cloud and infrastructure team. This is an opportunity to work at the forefront of Microsoft Cloud technologies, designing and supporting enterprise-scale Azure and hybrid cloud environments, with a strong focus on Azure … technical and architectural concepts clearly. Drive continuous improvement across infrastructure, tooling, and support processes. Skills & Experience Essential Minimum 5 years' experience working across Microsoft Azure environments. Proven experience in Azure architecture design and deployment. Strong expertise in Microsoft Server, Azure, Hyper-V, and Microsoft 365. Hands ...

package and flexible working. The ideal Data Engineering Manager will come from a data engineering background and have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture. … Snowflake - beneficial Experience managing small teams of Data Engineers Strong experience working in a cloud environment and knowledge in the following very beneficial: Microsoft Azure, Azure Data Factory and Azure DevOps Experience working in fast-paced Agile environments Creativity and curiosity for solving complex problems. ...

seeking a highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible … data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets. Key Responsibilities: Data Pipeline Development & Optimisation: Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming ...

Azure Enterprise Solutions Sales Director Up to £90K base + Double OTE and additional benefits Home based with travel, must be UK based. Company & role This fast growing Microsoft Solutions Partner is genuinely born in the cloud and deeply aligned to Microsoft across Azure, Cloud and AI platforms. … They work with large enterprise organisations delivering complex Azure solutions across Infrastructure, Data and AI, Digital and App Innovation and Security. The company is scaling and this role is a key part of their enterprise growth strategy. This is a player first, future coach role. Initially, you will operate ...

layers Experience with Big Data testing and data-intensive platforms Familiarity with CI/CD pipelines and version control tools (Git, Jenkins, GitLab CI, Azure DevOps) Experience working in Agile/Scrum environments Strong communication skills and ability to collaborate within cross-functional Pod teams Desirable/Nice ...

scalable back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

Technical requirements Strong Python and ML frameworks (PyTorch, TensorFlow) MLOps tooling (MLflow, Kubeflow or similar) Docker, Kubernetes, CI/CD pipelines Cloud platforms (AWS, Azure or GCP); Terraform experience preferred Financial services experience highly desirable A hands-on role with real impact, autonomy, and senior stakeholder exposure. ...

Python and SQL skills Experience building and orchestrating data pipelines (Airflow or similar tools) Hands-on work with cloud platforms (AWS and/or Azure) Solid understanding of databases, data warehouses, and data lakes Experience integrating systems via APIs and back-end services Comfortable working with version control ...

modern javascript framework (we use React) Experience working with databases (SQL and NoSQL), APIs, and web technologies. Experience with cloud platforms (AWS, GCP, Azure) Solid understanding of software engineering principles, including clean code, testing, and version control (git). Strong problem-solving skills and the ability to break down ...

modern cloud-based data technologies. Role Overview As a Data Platform Engineer, you will design, build, and maintain scalable cloud-based data infrastructure using Azure and Databricks. You'll play a key role in ensuring that data pipelines, architecture, and analytics environments are reliable, performant, and secure. Key Responsibilities … Platform Development & Maintenance Design and implement data pipelines using Azure Data Factory, Databricks, and related Azure services. Build ETL/ELT processes to transform raw data into structured, analytics-ready formats. Optimise pipeline performance and ensure high availability of data services. Infrastructure & Architecture Architect and deploy scalable data ...

product or SaaS company You have indepth technical knowledge of Python for data workflows, SQL and Data Modelling, DBT, Cloud platforms (AWS, GCP or Azure), Workflow Orchestration tools (e.g. Airflow, Dagster, Prefect, DBT Cloud), CI/CD (GitHub Actions, GitLab CI, CircleCI) You have experience of leading technical deployments ...

Core Technical Experience Strong engineering background in data engineering, analytics engineering, or applied data science. Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and/or Databricks. Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential. Experience building end-to-end data ...

. Exposure to other messaging platforms (Kafka, RabbitMQ, MQ). Understanding of DevOps tools and CI/CD pipelines. Knowledge of cloud environments (AWS, Azure, GCP) and cloud-native Solace deployments. Why Join Us? Join a multi-discipline team, delivering advanced Messaging APIs, developing tools, administering , supporting low latency ...

Python Application Development (FastAPI), with a strong SQL capability. Hands-on experience building data pipelines, APIs and backend services. Solid understanding of cloud platforms (Azure/GCP) and Bash scripting. Advanced Docker knowledge, including storage, volumes and permissions. Strong grounding in software engineering principles, version control and CI/ ...

user experiences for laptops, desktops, mobiles, AV equipment, and home office setups. Microsoft 365 Administration: Manage Exchange Online, SharePoint, OneDrive, Teams, and Entra ID (Azure AD), including mailbox management, permissions delegation, and priority user provisioning. Infrastructure & Cloud Operations: Maintain hybrid environments across Windows Server, VMware, and Azure. Oversee performance ...

Infrastructure as Code principles to deliver repeatable, version-controlled infrastructure. Hands-on experience with virtualization technologies (e.g. VMware, Hyper-V, VDI) and cloud (e.g. Azure, AWS). Strong understanding of enterprise security and compliance requirements in modern Windows environments. The ability to continuously assess and improve existing systems, designing ...

topics to diverse technical and non-technical stakeholders. Experience with Identity and Access Management (IAM) and authentication protocols, specifically integrating solutions with IdPs like Azure AD or Okta using SAML 2.0. Familiarity with cloud and SaaS security architecture and the challenges associated with securing modern applications and browsers. Knowledge ...

years of experience in Big Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc. ...

Snowflake experience You have experience of working in Agile development environments, with a good understanding of DevOps practices, CI/CD, Automation Experience with Azure is desirable but not essential Apply now to find out more about this Lead Data Engineer (SQL Python Snowflake) opportunity. ...

Strong knowledge of AI/ML integration within enterprise architectures. Expertise in data modelling, distributed systems, and microservices architecture. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Excellent understanding of data governance, security, and compliance in regulated environments. Strong communication and stakeholder management skills. ...

data and support customer insight generation and decision-making. Skills Outstanding Python, FastAPI, asyncio and Postman/Insomnia Strong Git, Docker, Kafka, Kubernetes and Azure/AWS/GCloud Good understanding of Playwright, Selenium/Nodriver, Beautifulsoup Good React, Vite, Javascript, CSS, Tailwinds Good understanding of asynchronous request handling ...

with data transformation and infrastructure as code tools like dbt, Fivetran, and Terraform is highly beneficial. Experience with one or more major cloud environments—Azure, GCP, or AWS—is also expected. In return for your skills and dedication, you will receive a comprehensive package designed to support your development ...

decision-making skills. Ability to operate with high autonomy in fast-paced, high-pressure environments. Nice to Have Experience in cloud platforms (AWS, Azure, GCP). Background in data platforms, analytics, or AI-led solutions. Experience supporting product-to-service or platform-based business models. Prior exposure to retail ...

experience with GenAI, LLMs, agentic frameworks, or chat/workflow apps. Excellent Python and software engineering fundamentals. Solid cloud experience (AWS preferred, GCP/Azure fine). Product-minded approach and ability to work cross-functionally. 2. Senior AI Engineer - Information Retrieval (Engineering-Focused) Own engineering for large-scale ...

databases. Experience with NoSQL databases is a plus. Big Data/Cloud: Experience with big data tools (Spark, Hadoop) and cloud computing platforms (AWS, Azure, or GCP) for scalable ML workflows. Visualization: Ability to create clear, compelling data visualizations using tools like Matplotlib, Seaborn, Tableau, or Power ...