1,151 to 1,175 of 2,054 GCP Jobs

to spec, while managing multiple priorities Nice to Have VMware vSphere and SAN Storage Management Exposure to Linux , web domains, and SSL certificate management Broader cloud experience (e.g. AWS, GCP) Understanding of factory/industrial IT environments, ideally with familiarity with .NET/VB programming and OT systems Why Join? This is a great role in a growing team where More ❯

to spec, while managing multiple priorities Nice to Have VMware vSphere and SAN Storage Management Exposure to Linux , web domains, and SSL certificate management Broader cloud experience (e.g. AWS, GCP) Understanding of factory/industrial IT environments, ideally with familiarity with .NET/VB programming and OT systems Why Join? This is a great role in a growing team where More ❯

management: Experience scoping, overseeing and interpreting the results of vulnerability scanning, penetration testing, and security audits. Desirable: Cloud Security Expertise: Experience securing cloud-native applications and infrastructure (eg AWS, GCP), including knowledge of cloud security best practices and compliance frameworks Certifications: Relevant industry certifications such as CISSP, CISM, CISA, ISO 27001 Lead Implementer/Auditor, or similar. Supplier Security Management More ❯

data engineering). Practical scale-up/startup organisation experience (not large corporate), having navigated rapid growth and evolving environments. Deep understanding of public cloud environments (e.g., AWS, Azure, GCP) and how to best exploit capabilities and manage execution costs. Expertise in data orchestration, integration, and API design for complex systems. Experience with data infrastructure strategy and managing significant data More ❯

Neo4j, LangDB, in-memory graphs) and graph neural networks for reasoning. Strong grounding in probabilistic models , causal inference , and AI reasoning approaches. Hands-on experience with cloud platforms (AWS, GCP, Azure) and MLOps workflows. Solid understanding of vector databases (e.g. Pinecone, Weaviate, Milvus) and retrieval-augmented generation (RAG) techniques. Comfort with rapid technical recall for industry benchmarks, model parameters, and More ❯

Neo4j, LangDB, in-memory graphs) and graph neural networks for reasoning. Strong grounding in probabilistic models , causal inference , and AI reasoning approaches. Hands-on experience with cloud platforms (AWS, GCP, Azure) and MLOps workflows. Solid understanding of vector databases (e.g. Pinecone, Weaviate, Milvus) and retrieval-augmented generation (RAG) techniques. Comfort with rapid technical recall for industry benchmarks, model parameters, and More ❯

statistical computing environments Deep expertise in methods such as GWAS, causal inference, polygenic risk scores, pathway analysis, Mendelian randomisation, etc Experience deploying methods in cloud-based infrastructures (AWS, Azure, GCP) The ability to communicate complex statistical ideas clearly What you'll get in return You'll be joining a highly experienced team doing cutting-edge work to support drug discovery More ❯

statistical computing environments Deep expertise in methods such as GWAS, causal inference, polygenic risk scores, pathway analysis, Mendelian randomisation, etc Experience deploying methods in cloud-based infrastructures (AWS, Azure, GCP) The ability to communicate complex statistical ideas clearly What you'll get in return You'll be joining a highly experienced team doing cutting-edge work to support drug discovery More ❯

least 2 years in leadership. Strong understanding of data warehousing, pipelines, and database technologies. Proven experience with governance frameworks, BI tools (Power BI, Tableau), and cloud platforms (Azure, AWS, GCP). Knowledge of GDPR and data security best practices. Skilled communicator, able to translate technical concepts to non-technical audiences. Track record of leading cross-functional data teams and projects. More ❯

least 2 years in leadership. Strong understanding of data warehousing, pipelines, and database technologies. Proven experience with governance frameworks, BI tools (Power BI, Tableau), and cloud platforms (Azure, AWS, GCP). Knowledge of GDPR and data security best practices. Skilled communicator, able to translate technical concepts to non-technical audiences. Track record of leading cross-functional data teams and projects. More ❯

statistical computing environments Deep expertise in methods such as GWAS, causal inference, polygenic risk scores, pathway analysis, Mendelian randomisation, etc Experience deploying methods in cloud-based infrastructures (AWS, Azure, GCP) The ability to communicate complex statistical ideas clearly What you'll get in return You'll be joining a highly experienced team doing cutting-edge work to support drug discovery More ❯

least 2 years in leadership. Strong understanding of data warehousing, pipelines, and database technologies. Proven experience with governance frameworks, BI tools (Power BI, Tableau), and cloud platforms (Azure, AWS, GCP). Knowledge of GDPR and data security best practices. Skilled communicator, able to translate technical concepts to non-technical audiences. Track record of leading cross-functional data teams and projects. More ❯

least 2 years in leadership. Strong understanding of data warehousing, pipelines, and database technologies. Proven experience with governance frameworks, BI tools (Power BI, Tableau), and cloud platforms (Azure, AWS, GCP). Knowledge of GDPR and data security best practices. Skilled communicator, able to translate technical concepts to non-technical audiences. Track record of leading cross-functional data teams and projects. More ❯

even if gained with other platforms. Experience managing RDBMS' like Oracle is highly desirable, demonstrating a strong foundation in managing data at scale. Experience with cloud environments (AWS, Azure, GCP) is a plus. CompTIA Security+ certification required (must show proof of cert prior to interview) . AS/AA degree and 3 years relevant experience OR HS Diploma and More ❯

Experience with and understanding of: Version control - Git, GitHub Use of databases - Snowflake, postgresql or mysql Data Science techniques - Machine Learning, Artificial Intelligence, Statistical algorithms Cloud technologies - AWS or GCP What We'd Love: Experience of working across functional teams Masters or PhD in applied data science. Where You'll Be : London, UK. Flexible remote working policy. The Eutelsat Group More ❯

from technical teams to board-level leaders, fostering strong, collaborative relationships across the business. Qualifications: Level 7 Professional qualifications or extensive practical knowledge gained through experience Tech Stack: AWS, GCP Akamai PHP - Laravel and Symfony NodeJS React Typescript Headless CMS Algolia CDP Composable DXP Adobe Commerce Cloud Payment Systems such as Adyen Fraud tools such as Forter What we can More ❯

experience and qualifications like: Designing and delivering complex adversary simulations Evading controls such as EDR/EPP and navigating defensive environments Microsoft AD, Office 365, cloud platforms (AWS, Azure, GCP), MacOS Stakeholder engagement, including executive-level briefings Report writing that balances narrative flow and technical accuracy Familiarity with CBEST, TIBER, CORIE, AASE, iCAST, FEER Current CCSAM (or equivalent) qualification. However More ❯

exciting client who are looking to bring on a Python developer to the team there to assist on ongoing projects. Key Skills: Python TypeScript MongoDB & Dynamo DB AWS/GCP (Both would be ideal) Solid understanding of DevOps best practices and principles If you'd be interested in learning more about this exciting opportunity, please apply with your most up More ❯

d love to see: A degree in Computer Science, AI, Machine Learning, or equivalent practical experience Experience developing and deploying AI/ML solutions Familiarity with AWS, Azure or GCP Understanding of APIs, data pipelines, and automation tools Awareness of AI governance and ethical frameworks But above all, we want someone curious, collaborative, and keen to shape how AI is More ❯

preferred). Business & technical bilingual: credible with execs and architects alike; able to frame trade-offs and influence decisions. Broad technical grasp: modern data platforms (Azure/AWS/GCP), ingestion/ELT, modelling, governance (policies, lineage, MDM), BI, and ML use cases. Hands-on when needed: comfortable diving into discovery, prototyping value cases, and structuring delivery backlogs. Value & adoption More ❯

preferred). Business & technical bilingual: credible with execs and architects alike; able to frame trade-offs and influence decisions. Broad technical grasp: modern data platforms (Azure/AWS/GCP), ingestion/ELT, modelling, governance (policies, lineage, MDM), BI, and ML use cases. Hands-on when needed: comfortable diving into discovery, prototyping value cases, and structuring delivery backlogs. Value & adoption More ❯

d love to see: A degree in Computer Science, AI, Machine Learning, or equivalent practical experience Experience developing and deploying AI/ML solutions Familiarity with AWS, Azure or GCP Understanding of APIs, data pipelines, and automation tools Awareness of AI governance and ethical frameworks But above all, we want someone curious, collaborative, and keen to shape how AI is More ❯

preferred). Business & technical bilingual: credible with execs and architects alike; able to frame trade-offs and influence decisions. Broad technical grasp: modern data platforms (Azure/AWS/GCP), ingestion/ELT, modelling, governance (policies, lineage, MDM), BI, and ML use cases. Hands-on when needed: comfortable diving into discovery, prototyping value cases, and structuring delivery backlogs. Value & adoption More ❯

preferred). Business & technical bilingual: credible with execs and architects alike; able to frame trade-offs and influence decisions. Broad technical grasp: modern data platforms (Azure/AWS/GCP), ingestion/ELT, modelling, governance (policies, lineage, MDM), BI, and ML use cases. Hands-on when needed: comfortable diving into discovery, prototyping value cases, and structuring delivery backlogs. Value & adoption More ❯

d love to see: A degree in Computer Science, AI, Machine Learning, or equivalent practical experience Experience developing and deploying AI/ML solutions Familiarity with AWS, Azure or GCP Understanding of APIs, data pipelines, and automation tools Awareness of AI governance and ethical frameworks But above all, we want someone curious, collaborative, and keen to shape how AI is More ❯