Data Engineer (Platform)

TL;DR

Data Engineer (Platform): Operating and scaling core infrastructure components of an internal data platform with an accent on containerized services, open-source query engines, and observability. Focus on managing end-to-end deployments, optimizing query performance, and building robust CI/CD pipelines for data infrastructure.

Location: Onsite in Kraków, Poland

Company

hirify.global is a global Open Access publisher with a portfolio of over 500 scientific journals across all disciplines.

What you will do

• Collaborate on data engineering standards, covering pipeline design, data quality, and lineage.
• Design, deploy, and operate containerized services using Docker and Kubernetes.
• Manage and tune open-source query engine deployments for reliability and performance.
• Build and maintain monitoring, logging, and alerting stacks for platform services.
• Contribute to CI/CD pipelines for platform service delivery and infrastructure automation.
• Investigate and resolve platform incidents and document architecture decisions.

Requirements

• University degree in Computer Science or a related engineering field.
• 2+ years of relevant experience in data engineering or data platform roles.
• Strong knowledge of Python and SQL.
• Proficiency in Docker and understanding of columnar data formats.
• Experience with data engineering concepts: acquisition, modeling, orchestration, and warehousing.
• English: Proficiency required (CV must be submitted in English)

Nice to have

• Experience with on-prem infrastructure.
• Working knowledge of Kubernetes.
• Experience in C++ or Rust.
• Experience with observability tooling.

Culture & Benefits

• Competitive salary and private medical care (fully covered).
• MultiSport card (partially covered).
• Collaborative environment that values creativity and diversity.
• Regular team building activities.