At Bayer, we are committed to transparency, equal pay for equal work or work of equal value, and objective reward practices in line with EU and local regulations.
The minimum monthly gross compensation for this role is 20 240 PLN gross with final pay determined based on objective factors such as experience, qualifications, scope of responsibility, and internal alignment.
This position is eligible for variable pay components, such as performance‑based bonuses, awarded in accordance with the applicable employee group, role scope, and compensation structure.
In addition, Bayer offers a competitive and holistic benefits package, including:
- Medical care above statutory requirements
- Flexible benefits supporting leisure, and well‑being/sports programs
- Life, accident, and disability insurance through group coverage
- Employer‑supported pension plans with regular company contributions
- Home office allowance to support hybrid work
- Extra Paid Holidays
Benefits may vary depending on country, role, and employment conditions.
For Digital Hub Warsaw, we are looking for:
Senior Cloud Engineer Analytics & AI Platform
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.
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.
Your 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
Our requirements
- 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.
Location:
Poland : Mazowieckie : Warszawa
Division:
CH DAA&AI
Reference Code:
874203