Senior Data Engineer

Quick Facts

• Role: Senior Data Engineer

• Focus: Data Engineering × AI × Platform Engineering

• Work mode: Hybrid (6 office days/month in Kraków)

• Languages: Polish and English

Description

Join a team building a scalable knowledge platform used across multiple teams. You will work on end-to-end data pipelines, reusable connectors/components for structured and unstructured data, and the Knowledge Graph layer with ontology-to-data modeling. You will also contribute to data quality (lineage and provenance), security/access standards, and observability.

Responsibilities

• Design, build, and maintain end-to-end data pipelines

• Create reusable connectors and components for structured and unstructured data

• Develop data models for relational, graph, and NoSQL databases

• Evolve the Knowledge Graph layer and translate ontologies into data models

• Ensure data quality, lineage, and provenance

• Co-create standards for security, access control, observability, and data lifecycle

Requirements

• Minimum 5 years of experience as a Data Engineer or similar role

• Very strong knowledge of Python and SQL

• Practical experience with Knowledge Graph

• Experience designing NoSQL data models

• Experience working with structured and unstructured data (document content, source metadata, post-extraction data)

• Experience designing reusable pipeline frameworks for multiple sources/projects/domains

• Knowledge of cloud data services, pipeline orchestration, CI/CD, and monitoring

• English (min. B2) and Polish (min. B2)

• Willingness to work from the Kraków office 6 times per month

Benefits

• Work at the intersection of Data Engineering, AI, and Platform Engineering

• Influence on platform architecture and roadmap (some decisions still open)

• Daily work with LLM/AI solutions

• Long-term project in an international environment

• Opportunity to grow toward technical leadership