Senior Cloud Engineer Analytics & AI Platform
Summary
Designs and manages Azure cloud services for Bayer’s global analytics & AI platform, collaborating with data/data science teams to implement scalable solutions using IaC, CI/CD, and Azure’s data/AI tools.
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.
- 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)
- Intercultural awareness and willingness to travel. Fluent in English, both written & spoken.