1 to 25 of 86 GCP Jobs in the City of London

experience delivering cloud-native, microservices-based applications in enterprise environments. What You'll Do Design, build, and maintain secure, scalable, cloud-native platforms using modern cloud technologies (AWS, Azure, GCP). Develop and support microservices-based applications using Java, Node.js, and Python. Implement containerised solutions and orchestration frameworks such as Docker and Kubernetes. Collaborate with architects, engineers, and product teams More ❯

of MLOps and production deployment practices Experience with Python and core ML libraries (e.g., Scikit-learn, Pandas, PyTorch, TensorFlow) Familiarity with cloud platforms and data infrastructure (e.g., AWS/GCP/Azure, SQL, ELT tools) Understanding of ethical frameworks, explainability, and governance in AI Engaging & Adaptable Communication: Ability to deliver dynamic training sessions and tailor communication to different audiences. Coaching More ❯

Experience with CI/CD pipelines (Jenkins, GitLab CI, or similar). Knowledge of financial data protocols (e.g., FIX, SWIFT) is advantageous. Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus. More ❯

Strong in Python and SQL , plus familiarity with Scala or Java Experience supporting AI/ML workflows and working with Data Scientists Exposure to cloud platforms: AWS , Azure , or GCP Hands-on with modern data tooling: Spark , Databricks , Snowflake , Airflow Solid grasp of data modelling, orchestration, and infrastructure-as-code (Terraform, Docker, CI/CD) Excellent communication and client-facing More ❯

in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus More ❯

in CI/CD tools such as GitHub Actions, Jenkins, or DroneCI. Experience with configuration as code tools like Terraform, or Cloudless. Strong knowledge of cloud platforms (AWS, Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking, security, and system administration. What’s in More ❯

implementation of cloud-based solutions across AWS, Azure, and OCI platforms. What you get to do: Cloud Design and Development: Lead the design and development of Google Cloud Platform (GCP) architectures Create scalable, resilient cloud solutions using Infrastructure as Code (IaC) tools like Terraform Design and migrate applications across GCP and AWS … optionally Azure, and OCI platforms Collaborate with stakeholders to define cloud strategies and optimise existing infrastructure GCP and Multi-Cloud Expertise: Architect and implement cloud-native solutions in Google Cloud (GCP) , leveraging services like EKS , GKE (Google Kubernetes) Design and optimise GCP Implement Identity and Access Management (IAM) and Security Policies Work with Google Anthos, Kubernetes, and container-based architectures … rotation when required Requirements: Experience 7+ years of experience in designing, implementing, and managing cloud-based solutions across multiple cloud platforms Primary Expertise: Deep hands-on experience in Google Cloud (GCP) Basic knowledge/willing to learn AWS Proven experience in designing and implementing cloud architectures and solutions Experience with Apache Kafka , including setup, configuration, monitoring, and troubleshooting Proficiency in More ❯

skills (and curiosity about other modern languages) Experience with SQL and database schema design Track record building secure systemsMFA, RBAC, encryption, privacy by design Familiarity with cloud platforms (AWS, GCP, or Azure), Docker, and CI/CD workflows Thoughtful communicator, especially in distributed teams Startup mindset: proactive, adaptable, comfortable with ambiguity Bonus: experience with healthcare data, compliance, or enterprise deployments More ❯

analysis, machine learning concepts, and statistical methods. 🐍 Proficiency in Python (e.g., Pandas, Scikit-learn, NumPy) or R, with exposure to tools like Jupyter, SQL, or cloud platforms (e.g., AWS, GCP). 📊 Experience working with data—through academic projects, internships, or personal work—and a curiosity to learn more. 🗣️ Strong communication skills to share findings clearly with both technical and non More ❯

A specialist reinsurance broker is seeking a Data Engineer with Google Cloud Platform (GCP) experience to join their growing team in Central London. This is a hybrid role, requiring 2-3 days per week in the office. This is a modern, digitally native business with no legacy systems - a rare opportunity to work in a clean, forward-thinking tech environment. … joining a dynamic and fast-paced team that values innovation, adaptability, and continuous improvement. Key responsibilities will include: Lead and support the migration from Azure to Google Cloud Platform (GCP), including BigQuery Collaborate with stakeholders to understand data needs and ensure smooth transition and integration Become the internal GCP subject matter expert, with direct support from Google Contribute to the … with minimal legacy constraints Requirements : Proven experience as a Data Engineer. Hands-on experience with cloud migrations (on-prem to cloud or cloud-to-cloud). Strong knowledge of GCP, including BigQuery. Experience in Financial Services is desirable but not essential Exposure to AI technologies is a plus Excellent communication and stakeholder management skills Comfortable working in a dynamic, unstructured More ❯

hybrid cloud solutions . ✅ Hands-on expertise with CI/CD, Infrastructure as Code, cloud-native security, and FinOps . ✅ Deep knowledge of at least one hyperscaler (Azure, AWS, GCP) and modern tech stacks. ✅ Strong leadership, problem-solving, and client-facing communication skills. 🎯 Why This Role? Work on high-profile cloud transformation initiatives with major enterprises. Access cutting-edge tech More ❯

years of experience in Platform Engineering, Cloud Engineering, or DevOps Hands-on experience in DevSecOps, Site Reliability Engineering (SRE), or Agile Delivery Strong cloud expertise in AWS, Azure, or GCP Proficiency in Infrastructure as Code (IaC) using Terraform, GitHub, and Ansible A solid understanding of cloud security, networking, and scalability principles Experience working in Agile environments and contributing to continuous More ❯

or matrixed organisation . Proven expertise in modern BI architecture (Data Lake, EDW, Streaming, APIs, Real-Time & Batch Processing). Demonstrated experience delivering cloud-based analytics platforms (Azure, AWS, GCP). Strong knowledge of data governance, cataloguing, security, automation, and self-service analytics. Excellent leadership and team management skills across distributed and cross-functional teams. Strong communication and change management More ❯

marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads More ❯

Spark streaming Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase/Cassandra, MongoDB) Experience in cloud data eco-system - AWS, Azure or GCP in the data engineering space with at least few complex & high-volume data projects as an architect is mandatory Contributing to developing and maintaining cloud governance frameworks, policies, and procedures More ❯

re Looking For 3+ years of experience building scalable systems with Python or C# Strong front-end experience (React, Vue, Angular - your choice) Cloud architecture know-how (AWS, Azure, GCP - any flavour works) Solid understanding of relational databases Background in Computer Science, Engineering, Maths, or similar Experience in a start-up, greenfield, or high-autonomy team environment Passionate problem-solver More ❯

experience as a Data Scientist in a commercial setting Strong skills in Python, SQL , and machine learning libraries (e.g., scikit-learn, XGBoost, etc.) Familiarity with cloud platforms (e.g., AWS, GCP) and version control (e.g., Git) Experience working with financial or transactional data is a plus Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a More ❯

A specialist reinsurance broker is seeking a Data Engineer with Google Cloud Platform (GCP) experience to join their growing team in Central London. This is a hybrid role, requiring 2-3 days per week in the office. This is a modern, digitally native business with no legacy systems - a rare opportunity to work in a clean, forward-thinking tech environment. … joining a dynamic and fast-paced team that values innovation, adaptability, and continuous improvement. Key responsibilities will include: Lead and support the migration from Azure to Google Cloud Platform (GCP), including BigQuery Collaborate with stakeholders to understand data needs and ensure smooth transition and integration Become the internal GCP subject matter expert, with direct support from Google Contribute to the … with minimal legacy constraints Requirements : Proven experience as a Data Engineer. Hands-on experience with cloud migrations (on-prem to cloud or cloud-to-cloud). Strong knowledge of GCP, including BigQuery. Experience in Financial Services is desirable but not essential Exposure to AI technologies is a plus Excellent communication and stakeholder management skills Comfortable working in a dynamic, unstructured More ❯

HAM/SAM, SPM, HR, CSM, etc.) Ability to demonstrate advanced scripting and integration skills – JavaScript, SQL, API Web Services Experience integrating ServiceNow with Cloud Infrastructure (e.g AWS, Azure, GCP) Security Clearance is desirable, or the ability to obtain SC clearance is required. What’s in it for you At Accenture in addition to a competitive basic salary, you will More ❯

. Strong academic background — Russell Group university. Proven background in product management for BI/data products. Strong SQL and Python skills. Hands-on experience with any cloud platform (GCP preferred, AWS or Azure fine). Confident with data visualisation tools — Power BI (or Tableau/Looker). Experience working with financial data — banking, insurance, asset management, fintech. Clear communicator More ❯

3+ years experience developing across the stack in C# or Python Proficiency with a modern JS front end framework (React, Vuejs, Angular) Experience with cloud architecture (Azure, AWS or GCP) In depth knowledge of relational database Degree in Maths, Engineering, Computer Science or related Proven experience building scalable systems/applications in start ups OR greenfield projects in a larger More ❯

strong relationships and facilitating productive discussions. Baseline Understanding of Core Data & AI Technologies: Maintain a baseline understanding of core technologies and platforms, including cloud solutions (such as AWS, Azure, GCP), to effectively discuss their applications and benefits with clients and stakeholders. Analytical Mindset: Strong analytical skills, with the ability to synthesise complex information and develop pragmatic solutions that address clients More ❯

native architectures. Proven leadership in large technical teams, with an Agile and product-focused mindset. Expertise in engineering culture, DevSecOps, and automation. Experience with public cloud platforms (e.g., AWS, GCP, Azure). Strategic thinking, innovation, and thought leadership in a technical context. Ability to measure, mentor, and uplift engineering maturity across multiple teams. What You'll Champion: Knowledge sharing across More ❯

security best practices and data compliance (e.g., GDPR , HIPAA ). Proficient in scripting/automation using Python , Bash , or Ansible . Comfortable working with cloud platforms (e.g., AWS, Azure, GCP) and container orchestration tools like Kubernetes . Excellent troubleshooting skills and a collaborative approach. Bonus: Experience with Cloudera , Hadoop , CDSW , or CML is a plus. What's on Offer: Flexible More ❯

GCP Data Engineer London (Hybrid) Salary: Up to £115,000 + benefits A global consultancy is looking for a Google Cloud Platform (GCP) Data Engineer to join a cross-functional data team delivering high-impact projects across multiple industries. This role focuses on building and managing end-to-end data solutions within the GCP ecosystem, working with or building Agentic … AI systems - supporting clients with scalable, cloud-native platforms and tools. Key Responsibilities: Design and implement data platforms using GCP Manage data workflows from ingestion to reporting Collaborate across teams to ensure seamless data integration Evaluate and implement the right technologies for each use case Support knowledge sharing and technical best practice Essential Experience: Proven expertise in building data warehouses … and ensuring data quality on GCP Strong hands-on experience with BigQuery, Dataproc, Dataform, Composer, Pub/Sub Skilled in PySpark, Python and SQL Solid understanding of ETL/ELT processes Clear communication skills and ability to document processes effectively Desirable Skills: GCP Professional Data Engineer certification Exposure to Agentic AI systems or intelligent/autonomous data workflows Experience with More ❯