• 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. 

• 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. 

Czego wymagamy?

Znajomości:

• Azure
• Python
• MLOps
• Data analysis
• Big Data

Języki:

• Polski
• Angielski

Jakie warunki i benefity otrzymasz?

• 140-180 PLN godzinowo (B2B)
• B2B - Elastyczne godziny pracy (100%)
• Praca zdalna: Możliwa w całości

Gdzie będziesz pracował?

Centrum, Warszawa lub zdalnie

Kim jesteśmy?