251 to 275 of 3,073 Google Jobs in the UK

quality, consistency, and security across systems. Implement data governance practices and manage metadata. • System Architecture: Design robust, scalable, and high-performance data architectures using cloud-based platforms (e.g., AWS, Google Cloud, Azure). • Performance Optimization: Monitor, troubleshoot, and optimize data processing workflows to improve performance and reduce latency. Typical background: − Bachelor’s or Master’s degree in computer science/ More ❯

quality, consistency, and security across systems. Implement data governance practices and manage metadata. • System Architecture: Design robust, scalable, and high-performance data architectures using cloud-based platforms (e.g., AWS, Google Cloud, Azure). • Performance Optimization: Monitor, troubleshoot, and optimize data processing workflows to improve performance and reduce latency. Typical background: − Bachelor’s or Master’s degree in computer science/ More ❯

with both technical and non-technical stakeholders. Relevant certifications in product management and/or containerisation technologies are a plus. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with CI/CD pipelines and DevOps practices. Knowledge of microservices architecture and related design patterns. Understanding of security best practices in containerised environments. Excellent English, Verbal or More ❯

data marketing Degree preferably in any of the following areas: statistics, data science, physics, computer science or social sciences Ideally the Analyst will be experienced in the use of google marketing cloud tools, SQL and statistical software (R, python, BigQuery) Advanced excel skills and Data visualisation in Tableau or Locker Studio (preferred) Strong conceptual, communication (written, verbal, presentation) and collaboration More ❯

Technical Skills: Hands-on experience with Azure Data Platforms — think Data Lake, SQL DB/Warehouse, and Synapse. Good knowledge of BI tools like Power BI, Tableau, QlikView, or Google Data Studio. A solid understanding of data modelling, profiling, and integration architecture. Experience with data warehouse development, SQL performance tuning, and managing metadata. Familiarity with Data Vault methodology and cloud More ❯

systems, and tools. Knowledge of MITRE ATT&CK, Cyber Kill Chain, network topology, and EDR solutions. Expertise in multiple operating systems (Microsoft, Linux), cloud services (Microsoft 365, Azure, AWS, Google Workspace), and on-premise infrastructure. Practical use of forensic tools (e.g., EnCase, FTK, Cellebrite, XRY) for imaging and analysis. Skills in PowerShell, Bash, Python, SQL, and log analysis for data More ❯

to enhance their digital capabilities and build disruptive innovations. We believe in making the impossible, Possible and we do it literally. Job Overview: As the Business Development Manager for Google Cloud (GC) at Systango, you'll spearhead a dynamic partnership, cultivating relationships and designing innovative go-to-market strategies. You'll collaborate closely with stakeholders, driving sales enablement and market More ❯

all, some); Previous experience working as a Software Engineer Proven experience as a DevOps Engineer, Site Reliability Engineer, or similar role. Strong knowledge of cloud platforms (AWS, Azure, or Google Cloud). Proficiency in scripting and automation (Python, Bash, Terraform, or similar). Experience with containerization and orchestration tools (Docker, Kubernetes). Familiarity with CI/CD pipelines and tools More ❯

Agents. Proficiency in programming & AI development (Python, OpenAI APIs, MLOps frameworks). Nice-to-Haves: Experience with multilingual AI models for global translation. AI certifications (e.g., Azure AI Engineer, Google ML Engineer, TOGAF). What would be your key responsibilities? Design and implement enterprise-scale AI solutions, focusing on Conversational AI, Generative AI, and AI-powered automation to enhance business More ❯

and incident resolution Supporting meeting room technology and AV equipment Assisting with security best practices and endpoint protection tools (ideal) Familiarity with cloud platforms such as AWS, Azure, and Google Cloud (ideal but not mandatory) Experience with Jira and Confluence (ideal) Supporting server patching and updates (ideal but not mandatory) Qualifications and experience we consider to be essential for the More ❯

you’ve worked with any of the following, that’s a bonus—but not a requirement: Big data tools (e.g., Spark, Databricks, Elasticsearch) Salesforce Marketing Cloud or campaign analytics Google Analytics (and ideally BigQuery) Alteryx or similar BI/automation tools A previous role in digital entertainment, sports, or consumer-focused tech Understanding of retention strategies or regulated industries What More ❯

you’ve worked with any of the following, that’s a bonus—but not a requirement: Big data tools (e.g., Spark, Databricks, Elasticsearch) Salesforce Marketing Cloud or campaign analytics Google Analytics (and ideally BigQuery) Alteryx or similar BI/automation tools A previous role in digital entertainment, sports, or consumer-focused tech Understanding of retention strategies or regulated industries What More ❯

you’ve worked with any of the following, that’s a bonus—but not a requirement: Big data tools (e.g., Spark, Databricks, Elasticsearch) Salesforce Marketing Cloud or campaign analytics Google Analytics (and ideally BigQuery) Alteryx or similar BI/automation tools A previous role in digital entertainment, sports, or consumer-focused tech Understanding of retention strategies or regulated industries What More ❯

or MATLAB, and experience with bioinformatics tools and databases. · Expertise in machine learning, statistical modelling, and data visualization techniques applied to biological data. · Familiarity with cloud computing environments (AWS, Google Cloud, or Azure) and high-performance computing. · Strong understanding of neuroscience, neurogenomics, or psychiatric genetics is highly desirable. · Proven track record of leading bioinformatics projects and contributing to high-impact More ❯

Work with colleagues to develop test plans and strategies. Qualifications Degree/Diploma in Computer Science, Computer Engineering, or in a relevant field. Experience with a cloud platform: AWS, Google Cloud, etc. Essential Skills Several years of experience in a backend Java development role. Strong understanding of relational databases and proficiency with a relational DB. Strong knowledge of RESTful API More ❯

complex queries and optimise them Understanding of containerization technologies (Docker, RKT, Kubernetes, etc.) Experience with CI/CD systems (Github Action, Gitlab, etc.) Experience working with cloud providers like Google Cloud Nice to have TDD, BDD, DDD Experience building SaaS applications Python skills Bonus: have worked in a startup environment About the team We are a team of 20 passionate More ❯

decision making. What will you bring to the table? Proven experience with SQL, including optimizing query performance. Hands on experience working with large datasets and modern tooling (for example: Google BigQuery, AWS Redshift, Databricks, Apache Spark) Strong analytical skills, with the ability to explore data distributions, assess data quality and identify patterns or anomalies. Familiarity with data quality challenges, with More ❯

Research and evaluate emerging technologies, hardware, and software to support business needs. Provide expert support for Windows operating systems and widely used software applications, including Microsoft Office, Adobe, and Google Workspace. Duties and responsibilities Install, configure, and provide ongoing support for workstation software, hardware, printers, and access control systems (e.g., fobs, portals). Assess staff IT needs, identify vulnerabilities, and More ❯

sub using tools like Redis, along with familiarity with CI/CD tools (e.g., GitHub Actions) and writing unit and end-to-end tests. Experience with cloud platforms (AWS, Google Cloud, Azure, DigitalOcean) and Infrastructure as Code (IaC) tools like Terraform. Ability to build reliable, performant, and scalable APIs using a microservice architecture. Have a solid understanding of HTTP, TCP More ❯

graphs, code agents, deep research agents, and chatbots. Familiarity with AI engineering platforms (Azure AI Foundry, AWS Bedrock, GCP Vertex AI) and employee-facing AI platforms (Microsoft Copilot Studio, Google Agentspace, Amazon Q Business). Knowledge of agentic frameworks (Langgraph, Autogen, Agent Development Kit) and machine learning platforms for model training and deployment. Strong problem-solving skills, a proactive attitude More ❯

expertise with relational and non-relational databases. Familiarity with data governance practices, regulatory, and data privacy law compliance such as GDPR or PECR. Proficiency in using cloud services (AWS, Google Cloud) for data storage, processing, and analytics solutions. Effective communication skills to articulate complex data processes to both technical and non-technical stakeholders. Familiarity with the implications of AI and More ❯

or a related field. Experience in Virtual card payments and rebate structures. Knowledge of machine learning and statistical modelling techniques. Experience with data visualisation tools (e.g., Looker, Power BI, Google Suite). Perks of joining us: Other than an amazing environment for you to grow, have impact and show the world your incredible skills, we offer the following benefits: Company More ❯

concepts to both technical and non-technical audiences - Experience with migrating mission critical data systems from one platform to another. - Experience with Cloud technologies like AWS, Databricks, Azure or Google Cloud technology. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application More ❯

and Experience: Demonstrated ability in security architecture leadership roles within Technology or Semiconductor industries. Proven expertise in cloud security architecture and deployments, particularly in AWS, Azure, and/or Google Cloud Platform. Solid understanding of security frameworks such as NIST, MITRE ATT&CK, and relevant semiconductor industry standards. Excellent leadership skills with a track record of building and managing high More ❯

leading and delivering complex digital programmes and projects from concept to launch. Expertise in agile development methodologies and project management tools. Experience with data analytics and visualization tools (e.g., Google Analytics, Looker). Demonstrated ability to build, lead, and motivate high-performing technical teams. Confident in presenting digital strategies, project progress, and outcomes to various stakeholders, including board-level reporting. More ❯