Data Engineer to Swedbank’s Group AI Accelerator
Core
Design, build, and optimize data pipelines (ETL to ingestion, chunking, embedding) and implement context engineering strategies to support generative AI application development for corporate & institutions business needs.
Role type
Data Engineer (Generative AI)
Builds
Scalable data pipelines, vector stores, and context-aware systems for generative AI applications
Domain
Banking / Generative AI
Deliverable
production ML models
Required skills
Python, scalable data pipeline development, ETL, chunking, embedding, vector store management, CI/CD concepts, context-aware system design, pipeline performance optimization
Preferred skills
MS Azure services, secure handling of sensitive banking information, agile software development practices
Technologies
Python, MS Azure
Responsibilities
Design and optimize data pipelines from ETL to ingestion and embedding approaches; Develop and implement strategies for context engineering; Implement and manage vector stores; Collaborate with cross-functional teams on application/model monitoring
Seniority
Mid-Senior, hands-on IC
