651 to 675 of 1,601 Permanent GCP Jobs

s with 10 years, bachelor's with 8 years, master's with 6 years, or PhD with 4 years Strong experience in enterprise system design, cloud computing (AWS, Azure, GCP), and data-driven infrastructure Proficiency with architecture modeling tools (e.g., ArchiMate, Sparx EA, Visio) Deep understanding of system interoperability, security architecture, and service-oriented design Strong communication and leadership skills More ❯

data management or governance (e.g., CDMP, DGSP ). Architectural certifications such as Microsoft Certified: Azure Solutions Architect Expert or TOGAF . Knowledge of competing cloud data platforms (e.g., AWS, GCP). More ❯

leadership of data engineering teams within a complex organisation Expertise in ETL/ELT pipelines , data ingestion, processing and storage Strong experience with cloud data platforms (Azure, AWS, or GCP) Hands-on experience with SQL, Python , and modern data tooling A background in financial services or a regulated environment is highly desirable Excellent stakeholder engagement and communication skills-including presenting More ❯

appreciate and acknowledge the impact of system design decisions on scalability, resilience, and supportability. Experience of API design and architecture patterns. Experience with Public & Private Cloud Solutions, ideally Google Cloud Platform It would be great if you also had: Understanding of Data Architecture including management of confidential data. Delivering against company and industry guidelines and regulations e.g. cyber security and More ❯

post-graduate development experience with a focus on both front-end and back-end technologies. Solid proficiency in JavaScript and TypeScript, and familiarity with cloud environments like AWS or GCP, presenting opportunities for growth and contribution in exciting projects. If this sounds like something you want to be a part of then please submit your CV and we will be More ❯

web scraping and data extraction, and large-scale data collection. AI experience - either integrating AI within an app or using AI to optimize development workflows. Cloud platform proficiency (AWS, GCP, or Azure) with solid DevOps experience. Ability to balance hands-on development with leadership responsibilities. A start-up mindset - comfortable taking ownership, finding creative solutions, and thriving with limited resources. More ❯

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 What's in it for you More ❯

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 What's in it for you More ❯

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 What's in it for you More ❯

to guide strategic decisions Requirements: Around 3 years of experience in data science, analytics, or advanced market research Proficient in Python and SQL, with exposure to cloud tools (Azure, GCP or AWS) Comfortable working with large datasets and building models that can scale Clear communicator who can translate complex findings into actionable insight Experience in subscription-based or SaaS environments More ❯

automation initiatives and manage real-time data platforms. Preferred Qualifications: Experience with tools such as ServiceNow, BMC, Jira Service Management, or equivalent. Familiarity with modern cloud environments (AWS, Azure, GCP) and infrastructure-as-code tools. Certifications in ITIL, SACM, SRE, or relevant cloud/DevOps practices. Who You'll Work With Work Environment & Additional Information: Hybrid or on-site work More ❯

Experience with JIRA, Confluence, Slack, and other collaboration tools. Experience collaborating between customer support and product development teams. Familiarity with Kubernetes, Containers, LXC, and cloud platforms (AWS, Azure, OCI, GCP). Strong technical writing skills and a creative approach to problem-solving. The WEKA Way: We are Accountable : We take full ownership, always-even when things don't go as More ❯

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 401(k) retirement savings More ❯

offensive testing across black/grey/white-box approaches. Proficiency in tools like Burp Suite, Kali, Nmap, Nessus, Qualys, Metasploit. Familiarity with cloud platform security testing (AWS, Azure, GCP). Understanding of mobile security (Android & iOS), networking protocols, and the OSI model. Excellent verbal and written communication skills, especially for client-facing engagements. Highly organised, analytical, and able to More ❯

Exceptional systems knowledge Exceptional Linux knowledge Strong networking knowledge (TCP/IP) Strong concurrent programming ability (C++) Experienced working with distributed systems ( Desirable ) Experience working in the cloud (AWS, GCP, Azure etc.,) ( Desirable ) Experience working with containers Full details are available. Please don't hesitate to get in touch with max at platform-recruitment.com to learn more. More ❯

on AE performance This role requires Experience in the following Languages: SQL (Advanced) Jinja (Advanced) Experience with the following tools: dbt Core Git A Cloud warehouse provider e.g. Databricks, GCP, Snowflake The following would be nice to have Experience in the following Languages: Python Experience with the following tools: Github Lightdash Elementary CircleCI Databricks Airflow Kubernetes DuckDB Spark Data Modelling More ❯

HuggingFace, Scikit-learn, PyTorch) Comfortable working in a consultancy-style environment with multiple projects Nice to Have Experience with prompt engineering or fine-tuning LLMs Cloud platform experience (Azure, GCP preferred) Exposure to MLOps practices and deployment workflows Previous work in customer analytics, personalisation, or sentiment analysis You’ll report to a Lead or the VP of Data Science depending More ❯

Salesforce required; knowledge of reporting and opportunity dashboards a plus). Contact Centre platforms (e.g. Genesys, NICE, Twilio, Five9, Avaya). Cloud infrastructure and platforms (e.g. AWS, Azure, Google Cloud Platform). Collaboration and communication tools (e.g. Microsoft Teams, Zoom). Business Intelligence and presentation tools (e.g. Power BI, Tableau). Exposure to CX, AI, Automation, and Digital technologies preferred. More ❯

successful projects and in-depth knowledge of industry best practices Comfortable writing code in either Python or Scala Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge More ❯

CDPs (e.g., Salesforce CDP, Adobe Experience Platform), MDM, and CRM platforms. Familiarity with analytical approaches such as segmentation, propensity modelling, and next-best-action. Knowledge of cloud platforms (Azure, GCP) and data engineering principles. Excellent communication and stakeholder management skills. Preferred Qualifications Bachelor's or Master's degree in Data Science, Business, or related field. Certifications in cloud architecture or More ❯

Python skills • Experience with NLP, LLMs, and prompt engineering • Familiarity with LangChain, Semantic Kernel, or AutoGen • OCR/document layout modelling experience • Cloud-native deployment experience (AWS, Azure, or GCP) • Strong engineering mindset – writing production-grade, scalable code Bonus Points For • Experience in fintech, legal tech, insurance or regulated environments • Understanding of document-heavy workflows • Ability to take ownership and More ❯

Server), NoSQL (e.g. MongoDB, Cassandra), and data warehouse solutions Understanding of ETL processes, including data extraction, transformation, and loading Familiarity with cloud platforms such as AWS, Azure, and Google Cloud Platform TOGAF (The Open Group Architecture Framework), CDMP (Certified Data Management Professional), and related certifications are preferred Professional membership of STEM-related independent organisations, e.g., Institute of Engineering Technology, Royal More ❯

strength in React/TypeScript and back-end experience in Node.js or Python; familiarity with C++ or ROS is a plus. Solid grasp of network and cloud architecture (AWS, GCP, or Azure) and database-backed REST APIs. Comfortable owning problems end-to-end, learning what's missing, and communicating technical details to any audience. Willingness to travel extensively and work More ❯

Nice to have A degree in Computer Science. Experience in methodologies such as event storming and impact mapping. Experience working with GraphQL. Hands-on experience with cloud platforms (AWS, GCP, Azure) and core compute services. Previous experience in a startup or high-growth environment. £95,000 - £112,000 a year At Apollo, we strive to provide competitive, market-informed compensation More ❯

in a global retail or similar data-intensive industry Expert-level proficiency in various data modeling techniques and tools Strong hands-on experience with cloud data platforms, specifically Google Cloud Platform - BigQuery Experience with leading ETL/ELT tools and data pipeline orchestration (e.g., Dataflow, Apache Airflow, Talend, Informatica) Advanced SQL skills and deep knowledge of various database technologies (relational More ❯