Sr. Cloud Engineer Analytics & AI Plat.

 

Sr. Cloud Engineer Analytics & AI Plat. 

         

For Digital Hub Warsaw, we are looking for:

 

Sr. Cloud 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 & (advanced) analytics products for Bayer Consumer Health. As Senior Cloud Engineer you are responsible to enable and manage Azure Cloud Services on a globally & scalable distributed data, analytics & AI platform. You will engage with Data Engineers, Data Architects, Data Scientists to derive together with Cloud Architects which Azure Services need to be enabled / adjusted and implement the respective features and/or changes, considering CI/CD and Infrastructure as Code Best Practices.
 

Key Tasks & Responsibilities:
 

• Contribute to platform roadmap together with cloud architects, derive requirements for missing capabilities and participate in Azure service evaluation
• Plan, Design and Enable Services on Azure Cloud Platform & Databricks based on derived requirements in line with security guidelines & non-functional requirements like cost efficiency & scalability and documentation guidelines.
• Engage with the platform operations team and implement and deploy changes
• Train the platform operations team to operate the new features that you have built, provide them with the needed documentation
• Observe & assess platform compliance and implement solutions to ensure platform operations within compliance guidelines
• Engage with technology and implementation partners to overcome issues if required
• Engage with central cloud teams, network and security teams, cyber security teams to overcome issues if required and follow company best practices

 

Qualifications & Competencies (education, skills, experience):

• Masters degree in Computer Science, Engineering, or similar
• 3-5 years of working experience in Microsoft Azure Cloud development (infrastructure as code) & proficient knowledge especially the Data Platform Stack (ML, Databricks, Data Factory, etc.) and Application Development Stack (Container Apps, Web Apps, etc.)
• Proficient Knowledge of Azure Network Design (Private Link, VPC Setup, Azure Firewall etc. ) and Azure Authentication Management
• Coding skills in PowerShell, Azure Resource Monitor/ARM, Bicep, Terraform as well as Infrastructure as Code, CI/CD, Github and Github Actions are a must
• Good knowledge about Data Modelling / Data Warehousing / Data Science / Application Development, Snowflake as a technology as well as platform architecture skills is a plus
• Problem solving - & analysis skills, combined with profound business judgement.
• Good documentation & communication skills (active listening, consulting, challenging)