251 to 275 of 1,028 GCP Jobs in the UK

Engineer to join a London based global law firm on a permanent basis. Lead Data Engineer Key Responsibilities: * Design and build scalable, cloud-based data platforms (Azure, AWS or GCP). * Develop and maintain ETL/ELT pipelines for structured and unstructured data. * Deliver dashboards and reports using Power BI. * Lead a small team of data engineers and analysts. * Support More ❯

Lake . DBT Advanced proficiency in SQL, ETL/ELT pipelines, and data modelling. Experience with Azure Data Services (ADLS, ADF, Synapse) or other major cloud platforms (AWS/GCP). Strong knowledge of data warehousing , transformation logic , SLAs, and dependencies. Hands-on experience with real-time streaming near-realtime batch is a plus., optimisation of data bricks and DBT More ❯

TSA). Hands-on experience with HSMs (e.g., Thales, SafeNet) and PKI platforms (e.g., Entrust, eMudhra). Experience with cloud-native KMS solutions (e.g., AWS KMS, Azure Key Vault, GCP Cloud KMS). Familiarity with scripting and automation (e.g., Python, PowerShell, Terraform). Excellent leadership, communication, and problem-solving skills. What we will do for you: Competitive compensation Pension scheme More ❯

Expertise Extensive experience in data modelling, database design, and SQL. Strong proficiency with data modelling tools and frameworks. Knowledge of ETL tools and cloud data platforms (e.g., AWS, Azure, GCP). Experience with Python and Kafka (desirable). Data Management Proven background in designing and managing large-scale data warehousing solutions. Strong understanding of data governance, data quality, and metadata More ❯

well. You'll ideally have commercial experience with most of the following; ** Modern .Net (C#, MVC, .Net Core, Web API) ** Databases (ideally SQL Server) ** Cloud Services (Azure, AWS or GCP) ** HTML, CSS and JavaScript (ideally Angular or Reactjs). The following is highly desirable; ** Microservices ** Elastic Search or Apache Kafka ** Experience or interest with AI Salary for this role ranges More ❯

Strong understanding of agile delivery and modern engineering practices. Collaborative leadership style with excellent communication and stakeholder engagement skills. For Both: Experience working with cloud platforms (AWS, Azure, or GCP). Passion for innovation, continuous improvement, and building inclusive teams. Strong alignment to engineering excellence, autonomy, and growth. This is a full-time, permanent role, offering a starting salary up More ❯

engaging clients, influencing decision-making, and delivering large-scale solutions. Experience leading architecture for enterprise-scale programmes across application, business, or integration domains. Knowledge across cloud platforms (AWS, Azure, GCP) and modern delivery approaches (agile, DevOps, CI/CD). Experience assessing solution options, selecting technologies, and designing roadmaps that guide delivery. Strong technical breadth across areas such as microservices More ❯

systems in production, so you should expect to apply XP techniques like TDD and SOLID and be comfortable with practices like IaC, CI/CD and Observability. Skills: Python GCP, AWS Kubernetes, Docker, ECS FastAPI, Django PostgreSQL, MongoDB Serverless, Container-based and Event Driven Architectures The money is good too - up to £100k plus benefits including nonus, share options and More ❯

systems in production, so you should expect to apply XP techniques like TDD and SOLID and be comfortable with practices like IaC, CI/CD and Observability. Skills: Python GCP, AWS Kubernetes, Docker, ECS FastAPI, Django PostgreSQL, MongoDB Serverless, Container-based and Event Driven Architectures The money is good too – up to £100k plus benefits including nonus, share options and More ❯

systems in production, so you should expect to apply XP techniques like TDD and SOLID and be comfortable with practices like IaC, CI/CD and Observability. Skills: Python GCP, AWS Kubernetes, Docker, ECS FastAPI, Django PostgreSQL, MongoDB Serverless, Container-based and Event Driven Architectures The money is good too – up to £100k plus benefits including nonus, share options and More ❯

technical documentation . Excellent communication and collaboration skills for pair programming and cross-team work. Desirable Skills Experience working in agile environments . Exposure to cloud platforms (AWS, Azure, GCP). Knowledge of API integrations and infrastructure-as-code (IaC) tools. Why Join? This is a unique opportunity to work directly with VMware and an established engineering team on a More ❯

learning models. Experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms like AWS, GCP, or Azure for deploying ML solutions. Knowledge of version control systems (e.g., Git) and CI/CD practices for ML workflows. Experience 3+ years of hands-on experience as a More ❯

models built in frameworks such as TensorFlow, PyTorch or Scikit-learn. Solid software engineering skills, with strong Python programming experience. Hands-on knowledge of cloud platforms (AWS, Azure, or GCP), containers, Docker, and Kubernetes. Understanding of probability, statistics, and key supervised/unsupervised learning methods. Excellent communication skills, able to engage technical and non-technical stakeholders. The Package More ❯

and maintaining test automation frameworks. Knowledge of CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions). Familiarity with containerization and cloud platforms (e.g., Docker, Kubernetes, AWS/GCP/Azure) is a plus. Strong problem-solving skills and ability to work in cross-functional teams. Good understanding of software testing principles (unit, integration, regression, performance). EQUAL OPPORTUNITIES More ❯

in distributed systems, high availability, and enterprise leadership experience Proficiency in modern data platforms (Databricks, Snowflake, Kafka), container orchestration (Kubernetes/OpenShift), and multi-cloud deployments across AWS, Azure, GCP Advanced knowledge of Big Data ecosystems (Hadoop/Hive/Spark), data lakehouse architectures, mesh topologies, and real-time streaming platforms Strong Unix/Linux skills, database connectivity (JDBC/ More ❯

Looking For Strong experience in web and mobile architecture and modern frameworks (JavaScript/TypeScript, Node.js, Python). Deep knowledge of APIs (REST, GraphQL) and cloud platforms (AWS, Azure, GCP). Hands-on experience managing external development teams. Commercially aware, pragmatic, and solutions-oriented. Confident communicating complex technical ideas to both technical and non-technical stakeholders. Why You'll Love More ❯

Looking For Strong experience in web and mobile architecture and modern frameworks (JavaScript/TypeScript, Node.js, Python). Deep knowledge of APIs (REST, GraphQL) and cloud platforms (AWS, Azure, GCP). Hands-on experience managing external development teams. Commercially aware, pragmatic, and solutions-oriented. Confident communicating complex technical ideas to both technical and non-technical stakeholders. Why You’ll Love More ❯

communicate technical concepts both verbally and in writing. Experience designing both analytical and operational data models. A genuine interest in AI technologies. Desirable extras: Cloud certifications (AWS, Azure, or GCP Data Services). Knowledge of data warehouse methods and techniques. Practical experience with AI tools and processes. Active involvement in data or technology communities. Whats on offer A salary of More ❯

/Galaxy administration/CLI. Implementation experience with container orchestration solutions (Kubernetes/OpenShift). Knowledge of Big Data (Hadoop/Hive/Spark) and Cloud technologies (AWS, Azure, GCP). Understanding of distributed system architecture, high availability, scalability, and fault tolerance. Familiarity with security authentication systems such as LDAP, Active Directory, OAuth2, Kerberos. Excellent Unix/Linux skills. Familiarity More ❯

/Galaxy administration/CLI. Implementation experience with container orchestration solutions (Kubernetes/OpenShift). Knowledge of Big Data (Hadoop/Hive/Spark) and Cloud technologies (AWS, Azure, GCP). Understanding of distributed system architecture, high availability, scalability, and fault tolerance. Familiarity with security authentication systems such as LDAP, Active Directory, OAuth2, Kerberos. Excellent Unix/Linux skills. Familiarity More ❯

value chain, or manufacturing operations. Advanced proficiency in Python, R, Spark, Hive, and SQL for large-scale data manipulation in both on-prem and cloud environments (e.g., Azure, AWS, GCP). Strong knowledge of machine learning and statistical modeling techniques, including regression, time-series forecasting, boosted trees, neural networks, and reinforcement learning. Familiarity with optimization and simulation methods such as More ❯

Typescript React or similar (Vue/Angular) experience with SSR such as Next an advantage SQL and NoSQL Ideally experience with Serverless. Ideally experience with AWS or AZURE/GCP Agile and adaptable to work on product development at all layers Extra bonus if you have experience building LLM Contextual search with OpenAI or similar More ❯

Typescript React.js or similar (Vue/Angular) experience with SSR such as Next.js an advantage SQL and NoSQL Ideally experience with Serverless. Ideally experience with AWS or AZURE/GCP Agile and adaptable to work on product development at all layers Extra bonus if you have experience building LLM Contextual search with OpenAI or similar More ❯

GCP Architect - Manager £75,000 to 90,000 GBP Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Role: Google Cloud Architecture Manager Location: London or Manchester (Hybrid) Salary: £75,000 - £90,000 + benefits Clearance: Must hold active SC security clearance Overview We are seeking an experienced Google Cloud Architecture Manager to lead the design, delivery … managing teams of engineers and architects, and ensuring that solutions are secure, scalable, and aligned to business objectives. The ideal candidate will bring deep expertise in Google Cloud Platform (GCP) , strong leadership capabilities, and hands-on experience with modern cloud infrastructure, automation, and security best practices. Key Responsibilities Lead the architecture and delivery of complex Google Cloud solutions across enterprise … and leadership to engineers and junior architects, fostering technical growth. Skills & Experience Required Active SC Security Clearance (essential). Professional-level Google Cloud certification required. Proven expertise in Google Cloud Platform services (Compute Engine, App Engine, GKE, Cloud Storage, IAM, VPC, etc.). Strong experience in architecting and engineering cloud-based solutions that meet both functional and non-functional requirements. More ❯

edge services as well as deep understanding of DMZ and other network architectures. AWS Well-Architected Framework. Experience establishing a strategy for and implementing cloud enterprise solutions in AWS, GCP, or Azure. A strong understanding of cloud containers and/or serverless platforms (e.g., EKS, ECS, Lambda, Fargate). Big four consulting or Fortune 500 company experience. Relevant industry certification More ❯