776 to 800 of 2,362 Azure Jobs in London

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 ❯

Street Alpha, FNZ, etc), digital drivers, cloud architecture & providers, integration tools & approaches, and artificial intelligence methods & techniques (experience in Cloud Computing Platforms -knowledge of any or all of Snowflake, Azure, AWS and Google would be beneficial) Knowledge of the common functions in a typical Data organisation Demonstratable interest and awareness in emerging technologies Hands-on coding experience with SQL More ❯

Street Alpha, FNZ, etc), digital drivers, cloud architecture & providers, integration tools & approaches, and artificial intelligence methods & techniques (experience in Cloud Computing Platforms -knowledge of any or all of Snowflake, Azure, AWS and Google would be beneficial) Knowledge of the common functions in a typical Data organisation Demonstratable interest and awareness in emerging technologies Hands-on coding experience with SQL More ❯

stakeholders and leadership Minimum Qualifications BSc or MSc in Computer Science, or equivalent industry experience 3+ years of software development experience Experience with cloud services and architectures (e.g. AWS, Azure) Experience with version control, reproducibility, and CI/CD pipelines for deploying machine learning models Excellent written documentation skills to document code, architectures, and experiments Experience with ML model More ❯

with hardware and OS configurations, diagnostic tooling, networking nuts and bolts Deep familiarity with containers (Docker) and orchestration (Kubernetes) at scale Experience working with a cloud provider (AWS/Azure/GCE), or sysadmin/SRE experience in data centers Experience designing, building, and operating high-scale observability or infrastructure systems Working knowledge of networking fundamentals, experience with CNIs More ❯

solutions using a range of technologies, including (but not limited to): SD-WAN (Cisco, Meraki, Juniper, Fortinet, Aruba) Wireless (Cisco, Meraki, Juniper, Aruba) Hybrid cloud connectivity and architecture (AWS, Azure, GCP) Cisco Partner Specialisation certifications Enterprise Network Architecture Secure Access Service Edge Personal Qualities, Behaviours & Expectations Proactive interest and up-to-date knowledge of industry offerings, emerging technologies, key More ❯

pursuing and undergoing rapid growth. You have a Bachelor's Degree (or equivalent work experience); MBA preferred. AI Certification such as AWS Certified Machine Learning, Google Cloud ML Engineer, Azure AI Engineer or Nvidia Certified GenAI/DeepLearning would be a strong advantage. Strong presentation skills, comfortable speaking to large audiences (up to 1,000 people). Excellent communication More ❯

that includes at least 2 years of hands-on software development or DevOps engineering experience - 2+ years of architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc. experience - 8+ years of technology solutions development and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing experience - Experience leading and More ❯

concepts (subnets, routing, peering, load balancing, NAT, etc.) Common networking protocols (DNS, TCP/IP, HTTP, TLS, UDP) Proactive, energetic, innovative and change oriented Nice to have: GCP or Azure Bare metal infrastructure engineering API management experience Large scale distributed storage management Familiarity with Rancher CKA/CKAD/CKS Creating and delivering production software in Go language Here More ❯

platforms like BigQuery for analysis and troubleshooting. Understanding of event tracking for impressions, clicks, and conversions via APIs or tags. Working knowledge of cloud platforms (GCP preferred; AWS/Azure a plus). Ability to explain complex concepts to technical and non-technical audiences; excellent communication skills. Proven success in fast-paced, cross-functional environments. Why you might stand More ❯

a business Preferred Qualifications Consulting experience or experience in a global marketing/analytics team. Familiarity with broader customer analytics techniques beyond MMM Experience working with cloud platforms (AWS, Azure, or GCP) and big data environments. MBA or other relevant advanced degree. What We Offer Access to cutting-edge tools and world-class training in AI, machine learning, and More ❯

platforms like BigQuery for analysis and troubleshooting. Understanding of event tracking for impressions, clicks, and conversions via APIs or tags. Working knowledge of cloud platforms (GCP preferred; AWS/Azure a plus). Ability to explain complex concepts to technical and non-technical audiences; excellent communication skills. Proven success in fast-paced, cross-functional environments. Why you might stand More ❯

to clearly articulate to small and large audiences - Ability to juggle tasks and projects in a fast-paced environment PREFERRED QUALIFICATIONS - Professional experience with cloud offerings such as AWS, Azure, Google Cloud Platform etc. - Programming or scripting skills with a combination of Java, Python Perl, Ruby, C#, and/or PHP - Previous experience in the Automotive or Manufacturing industries More ❯

platforms like BigQuery for analysis and troubleshooting. Understanding of event tracking for impressions, clicks, and conversions via APIs or tags. Working knowledge of cloud platforms (GCP preferred; AWS/Azure a plus). Ability to explain complex concepts to technical and non-technical audiences; excellent communication skills. Proven success in fast-paced, cross-functional environments. Why you might stand 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 ❯

with AI agent development and testing methodologies using Google ADK, LangGraph, Llamaindex Understanding of marketing and media workflows (content creation, campaign management, social media automation) Cloud platform experience (AWS, Azure, or Google Cloud Platform) Version control proficiency (Git) and collaborative development practices Excellent communication skills with ability to explain technical concepts to business stakeholders Problem-solving mindset with focus 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 ❯

Select Which statement best describes your hands on responsibility for architecting and tuning cloud native data lake/warehouse solutions (e.g., AWS S3 + Glue/Redshift, GCP BigQuery, Azure Synapse)? Select What best reflects your experience building ETL/ELT workflows with Apache Airflow (or similar) and integrating them into containerised CI/CD pipelines (Docker, GitHub Actions More ❯

with auditors, pentesters and security vendors; able to explain infrastructure decisions in security terms. •Familiarity with compliance standards (SOC 2, ISO 27001, etc) and cloud security postures in AWS, Azure or GCP would be preferable but not essential. Salary & Benefits •Competitive salary and equity grants •Employer pension contributions; oUK roles include enhanced employer pension contributions oUS roles include 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 ❯

Mahout, Pig, Hive, etc.; An understanding of statistical modelling techniques e.g. Classification and regression techniques, Neural Networks, Markov chains, etc.; An understanding of cloud technologies e.g. AWS, GCP or Azure A track record of demonstrated success with clients across multiple accounts Adept at working at all levels of the client's business Skilled negotiator who can persuade and build More ❯

call recordings, video) Proficiency in database and big data technologies including SQL, NoSQL, PySpark, Hive, etc. Cloud & AI Ecosystems Experience working with cloud platforms such as AWS, GCP, or Azure Understanding of API integration and deploying solutions in cloud environments Familiarity or hands-on exposure to generative AI ecosystems (e.g., OpenAI, Bedrock, Hugging Face) LLMs & Emerging Tech Awareness Awareness 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 Whats in it More ❯

understanding of business systems • Cloud Experience: Mid-level understanding of cloud computing concepts and their practical application in the transportation and logistics industry. Familiarity with platforms such as AWS, Azure, Aliyun or Huawei cloud is a plus. • Digital Transformation Experience: Experience in leading or contributing to digital transformation projects in the transportation and logistics sector, particularly those involving cloud More ❯