Czym będziesz się zajmować? You’ll be leading cutting-edge tech initiatives in the Azure Cloud, using state-of-the-art tools and methodologies. You’ll own your work, influencing the project’s architecture, strategy, and direction. You’ll play a key role in shaping MLOps/LLMOps pipelines, improving data availability, and ensuring seamless collaboration between analytics and IT teams. You’ll be joining a team of customer-focused Data Analysts, Data Engineers, and Machine Learning Engineers to drive one of the most exciting products on the Polish insurance market. 

Kogo poszukujemy? Proven experience as a Data Engineer or a strong aspiration to take on a leadership role in cloud-based data and AI projects. Commercial experience in building Data, Analytics, or MLOps/LLMOps Platforms in the Cloud (Azure preferred). Hands-on expertise in machine learning model lifecycle management, deployment, and monitoring in a cloud environment. Practical knowledge of open-source Big Data tools (e.g., Kafka, Airflow, Presto, Spark). +3 years of programming experience (Python preferred, but Java/Scala experience with a willingness to learn Python is also welcome). Experience in database development, data model design, and distributed systems. Strong business acumen and collaboration skills, with a proactive approach to addressing service needs and operational demands. Understanding of Agile and Scrum principles (we work in Scrum, by the way). Nice to have: Hands-on experience in MLOps/LLMOps, including model versioning, CI/CD pipelines for ML, and monitoring of deployed AI models. Familiarity with Databricks, BI Tools, and Azure Machine Learning Services. Experience with DevOps, Kubernetes, and microservices architectures. Strong mentoring skills, supporting other engineers in their professional growth.