AI Data Engineer
PLN 94K-168K (estimate) Mid-level Full Time
Tasks
- Build pipelines supporting ML models LLM applications and AI workflows
- Build scalable data pipelines
- Collaborate with Product Data Science ML AI and DevOps teams
- Design data models for analytics ML and AI
- Drive adoption of AI tools and agentic workflows
- Ensure data quality, observability, and reliability
- Establish best practices for AI workflows
- Improve engineering efficiency using AI
- Prototype and scale AI assisted development practices
- Provide AI experimentation guidance and knowledge sharing
Perks/Benefits
- N/A
Skills/Tech-stack
AI coding | AI coding assistant | Apache Airflow | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Event | Azure Event Hubs | Azure Synapse | Azure Synapse Analytics | Cloud Platforms | Coding Assistant | DBT | Data Factory | Data Lake Storage | Data Modeling | Data Observability | Data Quality | Data Warehousing | Data orchestration | Databricks | ELT | ETL | Embeddings | Event Hubs | Faiss | Great Expectations | Kafka | LLM | Langchain | Llamaindex | PGVector | Production reliability | PySpark | Python | RAG | SQL | Soda | Spark | Synapse Analytics | Vector Databases
Education
N/A
Roles
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