5 of 5 Temporary GCP Jobs in London

making high-quality technical hiring decisions. Deep knowledge of software architecture, clean code principles, and maintainable systems. Familiarity with cloud platforms (AWS, Azure, GCP), CI/CD pipelines, and containerisation (e.g., Docker, Kubernetes). Comfortable leading interviews and assessing both technical depth and soft skills. Desirable: Experience in consultancy ...

data science , machine learning, and predictive modelling. Background in data engineering (ETL pipelines, streaming tech like Kafka). Familiarity with cloud platforms (AWS, Azure, GCP). Excellent communication skills for technical and non-technical stakeholders. Exposure to financial services or willingness to learn fixed income and electronic trading. Typically ...

data science , machine learning, and predictive modelling. Background in data engineering (ETL pipelines, streaming tech like Kafka). Familiarity with cloud platforms (AWS, Azure, GCP). Excellent communication skills for technical and non-technical stakeholders. Exposure to financial services or willingness to learn fixed income and electronic trading. Typically ...

solving, reporting, and stakeholder management skills at all levels. Desirable: CISSP - Certified Information Systems Security Professional. Cloud security qualifications and/or certifications for GCP and Azure. Extensive risk management experience (CRISC, ISO27005, NIST RMF). Skills in network security, coding (Python, Bash, PowerShell, GitHub), and penetration testing. Benefits: Engage ...

will lead the assessment, design, and implementation of the firm's cloud and data platforms.* Provide Board-ready recommendations on cloud strategy (Azure vs GCP) and data architecture.* Design and implement a modern cloud data platform with Databricks as the core analytics and AI layer.* Build a production-ready lakehouse … operate and extend the platform. Profile * Proven hands-on experience delivering cloud-based analytics platforms end to end.* Strong expertise in Azure and GCP, including Databricks implementation.* Deep understanding of lakehouse architectures, data engineering, and analytics design.* Experience with large datasets, NLP/AI workloads, and geospatial data.* Strong security ...