226 to 250 of 3,113 Azure Jobs in London

insight-led recommendations that support decision-making. Ability to build effective relationships with stakeholders and collaborate across multidisciplinary teams. Experience working with Microsoft Fabric, Azure Data Services or modern cloud analytics platforms. Understanding of dimensional modelling, data warehousing and semantic models. Knowledge of DAX and Power Query. Experience within ...

technologies. Experience with compute, virtualization, and container environments including Cisco UCS, HyperFlex, VMware, Microsoft, and Kubernetes. Technical familiarity with multi-cloud environments across AWS, Azure, and Google Cloud from a network integration perspective. A current active UK Government Security Clearance, or willingness to be put forward for one, would ...

Data Lakes, and Modern Data Platforms.* Strong understanding of ETL/ELT Architecture and Data Integration Frameworks.* Experience with Cloud Data Platforms such as Azure, AWS, or GCP.* Strong SQL and data analysis skills.* Knowledge of Big Data technologies and modern analytics architectures.* Experience implementing data security, privacy ...

distributed systems, and database design Familiarity with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ...

distributed systems, and database design Familiarity with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ...

experience identifying and implementing AI, automation, or digital transformation initiatives in an operational environment.* Familiarity with Agile/Scrum delivery methodologies and tools (JIRA, Azure DevOps, Confluence).**Qualifications & Competencies*** Bachelor's degree in Business, Supply Chain, Information Systems, Data Science, or a related discipline.* Strategic Thinking & Innovation — Sees ...

Experience/Skills: Strong communicator with both technical and non-technical communities Experience of mentoring less-experienced developers Significant hands-on experience with the Azure Data Stack, critically ADF and Synapse (experience with Microsoft Fabric is a plus) Highly developed python and data pipeline development knowledge, must include substantial ...

Skills and Experience Technical Significant experience delivering enterprise-scale data engineering solutions. Strong SQL and data modelling expertise. Experience with cloud data platforms, with Azure experience preferred. Experience building ELT/ETL pipelines and data integration solutions. Strong software engineering practices, including source control, testing, CI/ ...

managed databases and DevOps practices, including Git, GitHub, code review, CI/CD, deployment workflows and monitoring. Familiarity with CloudWatch, Aurora, Docker, Kubernetes, Azure or Microsoft Entra ID would be advantageous. Ability to collaborate effectively with product managers, engineers, data specialists, project managers and non-technical stakeholders. Strong problem ...

compliance. Broad experience with system security, operating systems, cloud infrastructure, and enterprise data management. Key Skills Advanced knowledge of cloud platforms: Microsoft 365, Azure, AWS, and Google Cloud Platform (GCP). Hands-on experience with programming languages such as Java, .NET, Python, or equivalent. Microservices architecture and containerization. RESTful ...

experience identifying and implementing AI, automation, or digital transformation initiatives in an operational environment. Familiarity with Agile/Scrum delivery methodologies and tools (JIRA, Azure DevOps, Confluence). Qualifications & Competencies Bachelor's degree in Business, Supply Chain, Information Systems, Data Science, or a related discipline. Lean principles certifications. Strategic ...

oversight of complex, multi‐tower programs spanning: Infrastructure modernization - networking, compute, storage and data centre. Multicloud architecture, migration and operations - AWS, Azure, GCP. Security architecture, zero trust, SOC modernization and threat operations. Application development, modernization and DevOps. Digital workspace, collaboration and end‐user experience. Automation, AIOps, observability and platform ...

platform development, workflow automation, Virtual Agent, Predictive Intelligence, Now Assist, AI Agents, IntegrationHub, or Flow Designer. Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud. Familiarity with Model Context Protocol (MCP) concepts, secure API integration patterns, or connecting AI applications to enterprise tools and data sources. ...

Airflow, dbt, Kafka, Databricks and data observability & catalogue) solutions (e.g. Monte Carlo, Atlan, Datahub) Cloud Platform proficiency: familiarity with AWS, GCP, or Microsoft Azure, with hands‐on experience building scalable, reliable data solutions on cloud platforms A passion for learning new things and keeping on top of the latest ...

delivering secure cloud infrastructure and platform services within a highly regulated environment. This is a hands-on leadership role requiring strong technical expertise across Azure, AWS, automation, and cloud security, combined with the ability to engage effectively with stakeholders across engineering, project, and operational teams. Key Responsibilities Lead … delivery of secure Azure and AWS cloud solutions from design through to operational handover. Drive cloud migration, transformation, and modernisation initiatives within Agile delivery teams. Design and implement secure networking architectures, including hybrid and hub-and-spoke environments. Develop Infrastructure as Code, automation, and CI/CD pipelines using ...

hybrid working mode.In this role, you will lead the design, development and optimization of scalable cloud-native data architectures, focusing on Azure Databricks, PySpark and Lakehouse principles. You will work hands-on to deliver performant data solutions for high-volume workloads, ensuring governance, reliability and best practices for enterprise … implement modern engineering practices and enable next-generation analytics and AI-driven solutions.ResponsibilitiesLead the architecture, design and build of large-scale data platforms using Azure Databricks and modern cloud technologiesImplement and optimize ETL workflows and streaming pipelines with PySpark and Delta Live Tables following Lakehouse principlesEnhance performance, manage cloud ...

Hybrid, 1-2 days in the office) Employment Type: Permanent to start ASAP Summary of the role: We’re looking for a highly skilled Azure Databricks Data Engineer to design, develop and deliver cloud-based data integration and analytics solutions within our Retail portfolio . You’ll work across … initiatives, building scalable pipelines, optimising performance and ensuring best practices in data quality and governance. This is a hands-on technical role requiring strong Azure and Databricks experience, coupled with a solid understanding of Retail data and business processes . As part of this role, you’ll have ...

outcomes, we'd love to hear from you. Day to Day Design, build and maintain reliable ETL/ELT data pipelines using AWS or Azure cloud-native services and established engineering patterns Develop and support data integration components and services, including Java-based microservices where required Prepare, transform … parquet, avro and JSON Write efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse Build scalable data processing solutions using PySpark, Python and cloud-native orchestration services Implement data quality checks, validation processes, monitoring and logging to ensure ...

meaningful insights to our clients and help them to understand the risks and key drivers for their business using software such as Python, R, Azure, Databricks/other ML services, SQL, Tableau and Power BI. Development and delivery of new and innovative data science and machine learning tools … with different types of data (text, numerical, categorical). Experience in project management experience in a DevOps environment. Experience in using cloud environment (e.g. Azure, AWS). Experience using Git. Solid understanding of mathematics, probability, and statistics. Deep knowledge in a range of machine learning techniques (Supervised and unsupervised ...

Familiarity with relational databases such as SQL Server, Oracle Understanding of various data formats, including CSV, JSON, and XML Experience with cloud platforms, particularly Azure or AWS Strong storytelling and data visualisation skills, including scoping, designing, and delivering engaging client-facing insights using PowerPoint and sustainable dashboards using Power … repeatable Knowledge and experience of machine learning techniques, including supervised ML, unsupervised ML, and LLMs Experience with deployment tools and processes, such as Azure Data Factory (ADF), Azure ML and batch processing Experience using DevOps or equivalent agile development environments 4+ years’ experience leading clients through complex technical ...

serving thousands of users. Strong understanding of model observability, monitoring, evaluation frameworks, experimentation, reliability, and operational perfection. Expertise in cloud‐native AI development using Azure AI Foundry, Azure Machine Learning, Azure OpenAI, Azure AI Search, AWS AI Services, and modern cloud architectures. Experience implementing MLOps ...

serving thousands of users. Strong understanding of model observability, monitoring, evaluation frameworks, experimentation, reliability, and operational perfection. Expertise in cloud-native AI development using Azure AI Foundry, Azure Machine Learning, Azure OpenAI, Azure AI Search, AWS AI Services, and modern cloud architectures. Experience implementing MLOps ...

tooling adoption across engineering: code generation, data profiling, documentation, and testing Implement structured logging, alerting, SLA tracking, and access control Key Technologies Cloud: Azure, AWS, or GCP | SQL (T-SQL, PostgreSQL), Python, versioned metadata frameworks DevOps: Git, CI/CD (Azure DevOps, GitHub Actions) | Monitoring: Custom logging, alerts ...

control workflows. CI/CD tools: GitHub Actions, GitLab, etc. Container platforms: Docker, Kubernetes. Infrastructure‐as‐code: Terraform, Ansible, Pulumi, CloudFormation. Cloud platforms: AWS, Azure, GCP. A background in financial services or similar regulated industries. Familiarity with compliance frameworks and security requirements (e.g. … strategies. Excellent written and verbal communication skills, with the ability to translate complex technical topics to both technical and non‐technical stakeholders. AWS/Azure/GCP certifications, CISSP, CISM, or other security certifications are a plus. Perks & Benefits Competitive salary. Generous equity plan. Remote‐first working environment with ...

features, influencing design decisions to manage risks and develop mitigation plans. Cloud Architecture: Design and build solutions on public cloud platforms like AWS or Azure, leveraging services for compute, storage, and networking. Cross-functional collaboration: Work closely with product management, design, quality, and manufacturing teams to ensure a successful … platforms (e.g., GPT APIs, Copilot) and AI agent frameworks. Architect, designing and implementing robust and scalable CI/CD pipelines across diverse cloud (AWS, Azure) environments. Familiarity with data governance, data quality frameworks, and access controls. Strong communication skills for partner engagement and cross-functional collaboration. WHAT ...