1 to 25 of 548 Google Jobs in the South East

in agile development processes including sprint planning and retrospectives. SKILLS, EXPERIENCE & QUALIFICATIONS Experience with on premise hardware options and cloud platforms (AWS, Azure, or Google Cloud). Knowledge of containerization technologies (Docker, Kubernetes). Understanding of microservices architecture. Experience with performance optimization and scalability. Contributions to open-source projects. Strong More ❯

in agile development processes including sprint planning and retrospectives. SKILLS, EXPERIENCE & QUALIFICATIONS Experience with on premise hardware options and cloud platforms (AWS, Azure, or Google Cloud). Knowledge of containerization technologies (Docker, Kubernetes). Understanding of microservices architecture. Experience with performance optimization and scalability. Contributions to open-source projects. 5+ More ❯

data visualization, such as Certified Data Analyst or Certified Analytics Professional. 2. *Cloud Experience*: Experience with cloud-based data solutions, including AWS, Azure, or Google Cloud. 3. *DevOps*: Experience with DevOps practices, such as continuous integration and continuous deployment. 4. *Agile Methodologies*: Experience with Agile methodologies, such as Scrum or More ❯

languages such as: • C++, Java, Python, JavaScript, C# Systems & Tools: Knowledge of or experience with: • ??Linux/Unix operating systems • ??Cloud Technologies (AWS, Azure, Google Cloud) • ??DevOps tools (e.g., Docker, Kubernetes) • ??Version Control Systems (e.g., Git) • ??Machine Learning/AI technologies • ??Software Development: Understanding of software development methodologies, including Agile More ❯

skills and attention to detail. Strong communication and collaboration skills. Adaptability and enthusiasm for handling changing priorities. Experience with other cloud platforms (e.g., AWS, Google Cloud). Knowledge of Agile methodologies. The Where and When This is a full-time (35 hours/week) role based in Manchester or Milton More ❯

or equivalent experience of 5years. Strong programming skills in Python and preferably SQL, javascript. Experience with Agentic AI. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and MLOps tools. Understanding of data structures, algorithms, and software engineering principles and also when to prototype. Experience with data preprocessing, feature engineering, and More ❯

tools such as Splunk, Datadog, Pagerduty, Rundeck. Familiarity with configuration management tools like Ansible, Puppet, or Chef. Certifications such as AWS Certified DevOps Engineer, Google Cloud Professional DevOps Engineer, or equivalent. Personal attributes: Strong communication skills and the ability to collaborate effectively with cross-functional teams. Team player - ability to More ❯

automating data workflows. Experience with VoIP and LLM APIs (Gemini, ChatGPT, Claude) to analyse call transcripts and emails. Cloud & Deployment Working knowledge of AWS, Google Cloud, or Azure for data storage and ML deployment. Soft Skills & Compliance Strong communication skills—able to partner with non-technical teams and translate needs More ❯

complex data integration issues and develop creative solutions. Nice to Have: 1. *Cloud Data Platforms*: Experience with cloud data platforms such as AWS Redshift, Google BigQuery, or Azure Synapse Analytics. 2. *Data Science*: Knowledge of data science concepts and experience with data science tools such as R, Julia, or TensorFlow. More ❯

data governance, such as Certified Data Archivist or Certified Data Manager. 2. *Cloud Experience*: Experience with cloud-based data solutions, including AWS, Azure, or Google Cloud. 3. *DevOps*: Experience with DevOps practices, such as continuous integration and continuous deployment. 4. *Agile Methodologies*: Experience with Agile methodologies, such as Scrum or More ❯

with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python, React, Typescript, Kubernetes, Azure, and OpenAI technologies. A natural More ❯

Leverage Python to implement robust data solutions, including automation and optimization tasks. Develop and maintain cloud data infrastructure using platforms like AWS, Azure, or Google Cloud Platform (GCP). Ensure data quality, security, and compliance with industry best practices and standards. Monitor and troubleshoot data pipelines to ensure reliability and More ❯

as customer segmentation, forecasting, and LTV analysis • Maintain code-driven workflows and version control through GitHub What We’re Looking For: • Strong SQL skills (Google BigQuery or similar cloud platforms) • Proficiency in Tableau or other data visualisation tools • Understanding of data modelling (Kimball methodology preferred) • Experience with DBT/Airflow More ❯

as customer segmentation, forecasting, and LTV analysis • Maintain code-driven workflows and version control through GitHub What We’re Looking For: • Strong SQL skills (Google BigQuery or similar cloud platforms) • Proficiency in Tableau or other data visualisation tools • Understanding of data modelling (Kimball methodology preferred) • Experience with DBT/Airflow More ❯

as customer segmentation, forecasting, and LTV analysis • Maintain code-driven workflows and version control through GitHub What We’re Looking For: • Strong SQL skills (Google BigQuery or similar cloud platforms) • Proficiency in Tableau or other data visualisation tools • Understanding of data modelling (Kimball methodology preferred) • Experience with DBT/Airflow More ❯

API design, and cloud platforms . Experience in leading architecture for a multi-tenant SaaS or large enterprise application. Certifications: AWS Certified Solutions Architect, Google Professional Cloud Architect, Azure Solutions Architect Expert. Experience in data architecture, AI/ML integration, and observability frameworks . More ❯

of experience in data engineering, architecture, or platform management roles, with 5+ years in leadership positions. Expertise in modern data platforms (e.g., Azure, AWS, Google Cloud) and big data technologies (e.g., Spark, Kafka, Hadoop). Strong knowledge of data governance frameworks, regulatory compliance (e.g., GDPR, CCPA), and data security best More ❯

of experience in data engineering, architecture, or platform management roles, with 5+ years in leadership positions. Expertise in modern data platforms (e.g., Azure, AWS, Google Cloud) and big data technologies (e.g., Spark, Kafka, Hadoop). Strong knowledge of data governance frameworks, regulatory compliance (e.g., GDPR, CCPA), and data security best More ❯

of experience in data engineering, architecture, or platform management roles, with 5+ years in leadership positions. Expertise in modern data platforms (e.g., Azure, AWS, Google Cloud) and big data technologies (e.g., Spark, Kafka, Hadoop). Strong knowledge of data governance frameworks, regulatory compliance (e.g., GDPR, CCPA), and data security best More ❯

cloud financial management, or similar leadership roles. Proven track record of managing cloud costs and optimizing cloud spend, with experience in AWS, Azure, or Google Cloud Platform. Strong understanding of cloud services pricing, billing, and cost management tools (e.g., AWS Cost Explorer, Azure Cost Management, GCP Cost Tools, and Apptio More ❯

products. Data Expertise: Deep understanding of data management principles, data warehousing, data modelling, and schema design. Technical Skills: Proficiency in SQL. Strong experience with Google Cloud Platform (GCP) and BigQuery. Experience with data visualization tools, particularly Power BI. Strong understanding of API integrations. Solid understanding of data privacy regulations (GDPR More ❯

or Java Familiarity with AI libraries, frameworks, and tools such as TensorFlow, PyTorch, or Keras. Proven understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms. Solid understanding of AI concepts, algorithms, and methodologies. Knowledge of designing large scale AI solutions, data More ❯

PostgreSQL , MongoDB ). Experience designing data models and optimizing queries for performance. ✅ Cloud and Containerization: Experience working with cloud platforms like AWS , Azure , or Google Cloud . Familiarity with Docker , Kubernetes , or other containerization technologies, particularly for deployment and scaling of applications. ✅ Version Control & CI/CD: Proficiency in Git More ❯

smooth scaling, and high availability. Leverage containerization technologies like Docker to streamline deployment processes. Cloud Integration: Utilise cloud platforms such as AWS , Azure , or Google Cloud to build, deploy, and scale game services globally. Incorporate cloud-native technologies for greater efficiency and flexibility. Real-time Communication: Implement real-time communication More ❯

relevant certifications are a plus. Technical Expertise: Proven experience with Azure Data Platform technologies, particularly Azure Databricks. Familiarity with other cloud platforms (e.g., AWS, Google Cloud) is advantageous. Industry Experience: Previous experience in the Alternative Investment Fund industry is a plus but non-essential. Data Architecture and Modelling: Strong knowledge More ❯