1 to 25 of 203 Permanent Google Jobs in the South East

Create documentation, user guides, and training materials for clients Present findings and recommendations to senior client stakeholders Tech Stack You'll Work With BI Tools : Power BI, Tableau, Looker, Google Data Studio Data Warehousing : Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend More ❯

Create documentation, user guides, and training materials for clients Present findings and recommendations to senior client stakeholders Tech Stack You'll Work With BI Tools : Power BI, Tableau, Looker, Google Data Studio Data Warehousing : Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend More ❯

cloud environments. Excellent problem-solving 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 Keynes. We operate a flexible More ❯

advantage Nice to Have Experience with NLP for customer feedback or support ticket analysis Exposure to MLOps for model deployment and monitoring Familiarity with tools like Amplitude, Mixpanel, or Google Analytics Why Join Us? Shape data-driven strategy for how we understand and engage with our customers Collaborate with cross-functional teams and influence C-level decision-making Work in More ❯

security. We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance. Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances. The Dynatrace platform uses cutting-edge technologies, including our own Davis hypermodal AI, to help our customers modernize and automate More ❯

analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Experience with cloud platforms such as Azure, (AWS or Google Cloud) Good knowledge of optimisation techniques and design patterns for large data solutions. Bachelor's or master's degree in data science, Statistics, Computer Science, or a related field is More ❯

Experience with Python for advanced data analysis, statistical modelling, and automation Comfortable with a variety of data sets, testing methodologies, and success metrics Hands-on experience with web analytics (Google Analytics, Adobe Analytics) and visualisation tools) Understanding of performance product and marketing channels Experience with ad trafficking, tracking mechanisms, and digital marketing platforms Attention to detail, pursuit of the truth More ❯

experience building single page applications to join our product team working on Plyable's web apps. Our sites are written in modern Angular (TypeScript) and Django and hosted on Google App Engine and Kubernetes. We are a rapidly growing company, so there is excellent scope for growth and to shape your role, and you will be able to work with More ❯

to foster a culture of learning and collaboration. Proficiency in software development in Go (golang) Experience with Python would also be an advantage Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes). Experience with SQL Experience with data warehouses such as Snowflake or Databricks would be a bonus. Strong understanding of networking concepts More ❯

and challenges. Offer expert guidance on IT best practices, solution optimisation, and innovative technology adoption, including cloud services, cybersecurity, and workplace technologies such as Microsoft 365, Azure, AWS, and Google Cloud Platform. Translate technical concepts into business-aligned language for non-technical stakeholders. Advise on emerging technologies like AI and machine learning, and how these can support client objectives. Help More ❯

record helping organisations leverage public cloud in a way that balances quick wins, immediate savings and sustainable value. Nordcloud is triple-certified across Amazon Web Services, Microsoft Azure and Google Cloud Platform - with 10 European hubs, over 1,300 employees and has delivered over 1,000 successful cloud projects for companies ranging from midsize to large corporates. Our clients benefit More ❯

PyTorch, matplotlib, and Seaborn, with experience in data science and engineering. Experience with cloud service technologies and enterprise tools such as Databricks, Snowflake, AWS Bedrock, SageMaker, Azure ML, and Google VertexAI. Role Essentials Postgraduate educational background in Science, Technology, Engineering, or Mathematics. BA/BS or equivalent educational background; relevant experience may be considered in lieu of formal education. Minimum More ❯

BI tools (SSIS, SSRS). Strong SQL Server skills, including query optimisation and performance tuning. Familiarity with scheduling and orchestration tools (e.g. Control-M). Hands-on experience with Google Cloud tools such as BigQuery, Composer, and VertexAI. Proficient in Python for data manipulation and modelling. Strong skills in data visualisation using Tableau Desirable: Background in insurance or financial services More ❯

SKILLS & EXPERIENCE The ideal candidate will have: Strong client-facing experience - ideally from a consultancy or agency environment Proficiency in Python and SQL Experience with digital analytics tools (e.g., Google Analytics, Adobe Analytics) Solid background in marketing analytics (MMM, LTV, attribution, segmentation) Ability to scope and deliver end-to-end projects Comfortable working autonomously in a fast-paced, start-up More ❯

a rare role where data isn't siloed - you'll be at the heart of decision-making. Key Responsibilities Analyse and connect data from systems like Salesforce, NetSuite, and Google Analytics Deliver insights around pricing, product, and market performance Build dashboards and BI tools (Power BI and DOMO) for commercial use Lead forecasting, reporting automation, and strategic analysis cycles Train More ❯

problem-solving skills with the ability to diagnose complex issues using observability tools and logs Exposure to cloud-native monitoring for platforms such as Azure Monitor, AWS CloudWatch, or Google Cloud Operations Experience with implementing self-healing alerts/systems based on tools such as VMware vCF Operations, Syslog Splunk and VMware LogInsight Proficiency with observability of Kubernetes clusters Professional 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 ❯

IDS, WAF, DLP). Research and Intelligence Gathering: Proficiency in OSINT tools like Shodan and VirusTotal. Cloud Security Knowledge Knowledge of cloud technologies and security (e.g., AWS, Azure, Alibaba, Google Cloud), with skills in performing investigations, log analysis, and incident response is desirable OT/IOT Understanding of OT environments and security is desirable but not essential OS Security Knowledge More ❯

no flexibility) We're working with a major UK retail group that's rapidly expanding its brand portfolio and investing heavily in digital transformation. They've recently migrated to Google Cloud Platform and are continuing to build out a robust Analytics function. As part of this growth, they're hiring a Senior Digital Product Analyst to join their Product Analytics More ❯

WORKING Location: Central London, Greater London - United Kingdom Type: Permanent 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 More ❯

Develop features across our TypeScript/React frontend, Next.js stack, and Python backend services, balancing rapid development with long-term system design. Design Cloud Infrastructure : Build and maintain our Google Cloud architecture, database systems, and deployment pipelines that support mission-critical drone operations. Collaborate Cross-Functionally : Partner with Operations and Integration Teams to gather feedback, test new features, and improve More ❯

universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere. Our backers include Y Combinator, Index Ventures, Tiger Global and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog More ❯

turn complex data into actionable business insights. In this role, you'll partner with teams across the business to gather and connect data from systems like Salesforce, NetSuite, and Google Analytics. You'll create clear, reliable dashboards and play a key part in strategic planning, delivering insights on pricing, product performance, market trends, and customer satisfaction. From building automated reports More ❯

HOW TO APPLY If this sounds like the role for you, swiftly send over your CV to Izzi at Harnham by using the link below. KEY TERMS IBM, Coremetrics, Google Analytics, GA, Omniture, SiteCatalyst, Adobe Analytics, Analyst, Web, Digital, Online, Website, Financial Services, Finance, A/B, Test, Split, Multivariate, MVT, Tracking, Code, Tagging, Tags, Insight, Client, Agency, Management, Strategy More ❯

such as Python, SQL, or Java. Familiarity with data processing frameworks and tools (e.g., Apache Spark, Hadoop, Kafka) is a plus. Basic understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. Knowledge of database systems (e.g., MySQL, PostgreSQL, MongoDB) and data warehousing concepts. Excellent problem-solving skills and a keen attention to detail. Strong communication and More ❯