About this role
Qualifications & Experience.
- 7+ years of experience in platform engineering, data engineering, or cloud infrastructure.
- Exposure to Azure AI Foundry or comparable AI platform tooling, including the deployment of model-based services.
- Familiarity with MLOps practices and tools such as MLflow, feature stores, and model lifecycle governance.
- Experience with Kubernetes, Docker, and cloud-native architectures.
- Hands-on familiarity with the wider modern data stack (e.g., Spark, dbt, Kafka, Snowflake, or similar).
- Practical experience with Azure data services such as Azure Synapse Analytics and Microsoft Fabric.
- Experience with observability and monitoring tools such as Azure Monitor, Datadog, or Prometheus.
- Relevant certifications such as Databricks Certified Data Engineer, Microsoft Azure Data Engineer, or equivalent.
Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.
At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.
We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.
Join us . Let's care for tomorrow.