1 to 25 of 865 Google Jobs in the UK excluding London

platforms and managing cloud-based data ecosystems Proven track record in data integration, ETL processes, and optimising large-scale data systems Expertise in cloud-based data platforms (AWS, Azure, Google Cloud) and distributed storage solutions Proficiency in Python, PySpark, SQL, NoSQL, and data processing frameworks (Spark, Databricks) Expertise in ETL/ELT design and orchestration in Azure, as well as More ❯

Knowledge of ML-adjacent technologies, including AWS SageMaker and Apache Airflow. Strong skills in data preprocessing, wrangling, and augmentation techniques Experience deploying scalable AI solutions on cloud platforms (AWS, Google Cloud, or Azure) with enthusiasm for MLOps tools and practices Proficiency with version control systems including Git and GitHub Other Technologies You Might Encounter Our services are deployed to AWS More ❯

migration project and lead a talented data engineering team at a fast-growing, tech-driven business. Why this role? Lead the migration of an existing Azure data warehouse to Google BigQuery , creating a scalable, modern platform to power analytics, BI, and data science. Join a collaborative, people-first culture that's been recognised as a Great Place to Work for More ❯

adaptable, and a willingness to handle constantly changing priorities with continued enthusiasm Azure certifications (e.g., Azure DevOps Engineer Expert, Azure Solutions Architect) Experience with other cloud platforms (e.g., AWS, Google Cloud) Knowledge of Agile methodologies and practices The Where and When This is a full-time role (35 hours per week) based in either our Manchester or Milton Keynes office. More ❯

adaptable, and a willingness to handle constantly changing priorities with continued enthusiasm Azure certifications (e.g., Azure DevOps Engineer Expert, Azure Solutions Architect) Experience with other cloud platforms (e.g., AWS, Google Cloud) Knowledge of Agile methodologies and practices The Where and When This is a full-time role (35 hours per week) based in either our Manchester or Milton Keynes office. More ❯

concepts Experience in relational cloud based database technologies like Snowflake, BigQuery, Redshift Experience in open source technologies like Spark, Kafka, Beam Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in an agile environment Here’s a taste of the perks we roll out for our extraordinary team members: 25 Days More ❯

concepts Experience in relational cloud based database technologies like Snowflake, BigQuery, Redshift Experience in open source technologies like Spark, Kafka, Beam Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in an agile environment Here’s a taste of the perks we roll out for our extraordinary team members: 25 Days More ❯

legacy systems that may rely on older technologies or deprecated frameworks as part of our product portfolio. Nice to have: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Understanding of data governance and security best practices. Proficiency with Git and modern development workflows (CI/CD). Knowledge of performance tuning and scalability principles. Knowledge of Java More ❯

modern language (JavaScript/TypeScript, Java, Python) Web & Product Development: Frameworks (React, Node.js, Django/Flask) AI, GenAI and LLMs: OpenAI, Gemini, Grok, Llama Agentic AI: Frameworks (langchain, langgraph, Google ADK) AI enabled code tooling: Cursor, Windsurf, GitHub copilot AI powered platform development: Lovable, Replit, Bolt APIs & Microservices: RESTful APIs, GraphQL, microservice architectures Cloud & DevOps: AWS, Azure, or GCP; Docker More ❯

Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages More ❯

Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages More ❯

and Spring boot Strong knowledge in one of Cassandra, Oracle, MS SQL and RDBMS database concepts Experience with distributed computing environments, cloud computing platforms (Amazon Web Services/AWS, Google Cloud, Microsoft Azure) and Kubernetes Strong programming skills in one of scripting languages: Groovy, BASH, Shell, Python GO Strong working knowledge of modern development technologies and tools such Agile, CI More ❯

automation, API-driven solutions, and creating user-centric experiences. Desirable Skills Experience with AI/ML integration for lead scoring or customer segmentation. Knowledge of additional cloud platforms (e.g., Google Cloud, Azure) or containerisation (Docker, Kubernetes). Familiarity with Ideal Postcodes API or similar geolocation services. Previous work with encrypted data pipelines in a regulated industry. Excellent package on offer More ❯

efficiency and deployment effectiveness, including Azure DevOps or GitHub Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and More ❯

Prometheus, Grafana). Automation with Terraform, Ansible or similar. Programming in Python, Java, GoLang. Desirable Financial services or regulated industry experience. AWS/GCP certifications (e.g., AWS Solutions Architect, Google Professional Cloud Engineer). Knowledge of cryptography. If you are a skilled Senior Software Engineer with strong cloud, DevOps, and software development expertise, and youre looking for your next challenge More ❯

DevOps practices - ie Azure, CI/CD pipelines, scaling, cost optimisation. Strong problem-solving and communication skills. Desirable Skills: Background in retail or e-commerce data environments. Experience with Google Analytics data integration. Why Join? This is more than just a Senior Data Engineer role it's a chance to shape the future of a high-growth retail & e-commerce More ❯

encryption). • Ability to quickly acquire new skills and tools. • Good non-functional testing experience. Desirable Skills • Experience working in financial services or other regulated environments. • GCP certifications (e.g., Google Cloud Engineer/GCP Cloud DevOps Engineer). More ❯

encryption). • Ability to quickly acquire new skills and tools. • Good non-functional testing experience. Desirable Skills • Experience working in financial services or other regulated environments. • GCP certifications (e.g., Google Cloud Engineer/GCP Cloud DevOps Engineer). More ❯

encryption). • Ability to quickly acquire new skills and tools. • Good non-functional testing experience. Desirable Skills • Experience working in financial services or other regulated environments. • GCP certifications (e.g., Google Cloud Engineer/GCP Cloud DevOps Engineer). More ❯

encryption). Ability to quickly acquire new skills and tools. Good non-functional testing experience. Desirable Skills Experience working in financial services or other regulated environments. GCP certifications (e.g., Google Cloud Engineer/GCP Cloud DevOps Engineer). All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be More ❯

Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and modelling – from the ground-up, not only through the use of packages More ❯

Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and modelling – from the ground-up, not only through the use of packages More ❯

in Python, R, or Java. Familiarity with AI frameworks and libraries. Strong analytical and problem-solving skills. Excellent communication and interpersonal abilities. Experience with cloud platforms (Azure, AWS, or Google Cloud). Knowledge of optimisation techniques and design patterns for large data solutions. Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field (preferred More ❯

in Python, R, or Java. Familiarity with AI frameworks and libraries. Strong analytical and problem-solving skills. Excellent communication and interpersonal abilities. Experience with cloud platforms (Azure, AWS, or Google Cloud). Knowledge of optimisation techniques and design patterns for large data solutions. Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field (preferred More ❯

Puppet, Chef). Expertise in setting up and maintaining monitoring systems (e.g., Prometheus, Grafana). Some other highly valued skills may include: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). Ability to quickly diagnose and resolve production incidents. Strong interpersonal skills to work effectively with cross-functional teams. More ❯