Cloud Data Engineer, Professional Services, Google Cloud
Milan, Metropolitan City of Milan, Italy
14h fa

The Google Cloud Platform team helps customers transform and evolve their business through the use of Google’s global network, web-scale data centers and software infrastructure.

As part of an entrepreneurial team in this rapidly growing business, you will help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As a Cloud Data Engineer, you'll guide customers on how to ingest, store, process, analyze and explore data on the Google Cloud Platform.

You will work on data migrations and transformational projects. You will also work with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues.

You'll travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.

Google Cloud helps millions of employees and organizations empower their employees, serve their customers, and build what’s next for their business all with technology built in the cloud.

Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware.

And our teams are dedicated to helping our customers and developers see the benefits of our technology come to life.


  • Be a trusted technical advisor to customers and solve complex databases and data storage challenges.
  • Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders.
  • Act as a liaison for the engineering and product teams to commercialize solutions with partners and customers.
  • Provide highly technical implementation support in customer environment, including guidance on implementation feasibility of cross-product integrations.
  • Minimum qualifications :

  • Bachelor's degree in a technical or engineering field or equivalent practical experience.
  • Experience with data processing software and data processing algorithms.
  • Experience in writing software in one or more languages. Experience in working with technical customers.
  • Experience in Big Data within the cloud, including data analytics / warehousing, and with database design / querying.
  • Preferred qualifications :

  • Experience in working with / on data warehouses, including data warehouse technical architectures, infrastructure components, ETL / ELT and reporting / analytic tools, environments, and data structures.
  • Experience with open source software (Cassandra, MongoDB, RabbitMQ) and enterprise Content Management or Business Applications (CRM, ERP).
  • Experience in architecting, developing software, or internet scale production-grade big data solutions in virtualized environments.
  • Ability to work, communicate effectively and influence stakeholders on internal / external engineering teams, product development teams, sales ops teams and external partners and consumers.
  • Excellent presentation and communication skills.
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