Cloud Engineer @

5 days ago

Warszawa, Mazovia, Czech Republic Bayer Full time
  • Master's degree in computer science, IT engineering, physics, or a similar field.
  • 3 years of working experience in AWS Data Stack (Glue, S3) + AWS Network Design & Authentication Management is a must
  • Experience in Snowflake OR Azure Data Stack incl. Databricks is a plus
  • Coding skills in either Terraform / ARM / Bicep as well as Infrastructure as Code, CI/CD, GitHub, and GitHub Actions are a must.
  • Coding skills in Python / PowerShell is a plus.
  • In-depth understanding of (cloud-based) tools and services available in the market to develop actionable business insights and scale data platforms effectively and efficiently.
  • Good knowledge about Data Modelling, Data Warehousing, Data Science, Application Development
  • Problem-solving and analytical skills, combined with profound business judgment. Good documentation and communication skills (active listening, consulting, challenging).
  • Intercultural awareness and willingness to travel. Fluent in English, both written and spoken.

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where ,Health for all, Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice.

For Digital Hub Warsaw, we are looking for:

Cloud Platform Engineer Analytics & AI Platforms

The Digital Transformation Unit of Bayer Consumer Health operates a global data & analytics cloud platform, which is the backbone of all Data & Analytics Products, including ML, AI, and GenAI Solutions. As a Cloud Platform Engineer you will be part of a DevOps team, responsible for enhancing and operating a globally scalable distributed Data, Analytics, and AI platform. You will engage with Platform & Data Architects, Platform & Data Engineers and Data Scientists to identify which Capabilities need to be enabled or adjusted, implementing the respective features and changes while considering CI/CD and Infrastructure as Code Best Practices.

,[Contribute to platform roadmap together with cloud architects, derive requirements for missing capabilities in areas of Data & Analytics Stack, GenAI, Data Science, ML, and Application Development, and participate in service evaluation., Independently plan, design, and enable new features/services based on derived requirements in line with security guidelines, non-functional requirements like cost efficiency and scalability, and documentation guidelines., Train team members and stakeholders on how to operate and leverage new features and capabilities that you have built, as well as preparing and providing the needed documentation., Support operations of the platform by providing assistance to stakeholders and ensuring smooth functionality across services. This includes life cycle changes, incident resolution and handling of service requests as well as automation of operations., Observe and assess platform compliance and define AI-based solutions to ensure cost efficient platform and data operations within compliance guidelines., Engage with technology and implementation partners to overcome issues if required and shape platform roadmap., Engage with central cloud teams, infrastructure and cyber security teams to implement company and industry best practices and overcome blockers and incidents.] Requirements: AWS Additionally: Sport subscription, Private healthcare, Lunch card, International projects, Canteen, Bike parking, Free parking.

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