Senior Data Engineer

Kyotu Technology is a boutique software house based in Wrocław and Warsaw, working fully remotely or in hybrid mode across Poland. They focus on long-term, high-quality engineering and building complex, production-grade systems with real business impact. Their teams have real influence on technical and architectural decisions.

• Strong experience as a Data Engineer (senior level)
• Proficiency in Python (including Pandas, NumPy)
• Experience with big data processing frameworks (e.g. PySpark)
• Strong SQL skills and experience working with large datasets
• Experience with data pipeline orchestration tools (e.g. Airflow, Prefect, Dagster)
• Hands-on experience with cloud platforms and data services (e.g. AWS S3, BigQuery, Snowflake, Databricks)
• Experience with LLM orchestration frameworks (e.g. LangChain, LlamaIndex) from a data integration perspective
• Experience with data modeling and data architecture
• Familiarity with CI/CD and DevOps practices
• Experience with streaming technologies (e.g. Kafka)
• Experience in building and maintaining scalable data pipelines
• Experience working in cross-functional teams
• Very solid engineering background and best practices mindset
• High level of independence and ownership
• Good communication skills and team orientation
• English at B2 level

Nice to have:

• Databricks
• LLM frameworks

• Building scalable data platforms and pipelines in regulated environments where data quality, reliability, and security are key
• Designing and developing data pipelines
• Integrating modern data platforms
• Supporting advanced use cases such as LLM-powered data workflows
• Collaborating in cross-functional teams composed of Software Engineers, DevOps, Tech Leads, QA, and Product stakeholders
• Working in Agile environments