We are growing our Data Team and looking for a Data Engineer with a Platform Focus to own and operate core infrastructure components of our internal Data Platform. You'll work independently on containerized services, open-source query engines, and observability stacks — contributing directly to the reliability and scalability of the platform that powers our data products.
This is a hands-on engineering role with real ownership: you'll manage deployments end-to-end, contribute to CI/CD pipelines, and help shape how the platform evolves.
Tasks & ResponsibilitiesCollaborate with Data Engineers to support and help shape data engineering standards — covering areas like pipeline design, data quality, and lineage
Contribute to data governance practices by ensuring platform components align with ownership, access, and observability requirements
Own deployments for assigned platform components and maintain version-controlled infrastructure modules
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
Evaluate and integrate open-source data file format libraries
Document architecture decisions for owned components
Investigate and resolve platform incidents
A university degree, ideally in Computer Science or a related science, technology or engineering field.
2+ years of relevant work experience in data engineering or data platform engineering roles.
Working knowledge of data engineering concepts — data acquisition, modeling, orchestration, warehousing, laking, data quality, lineage and governance
Strong knowledge of Python and SQL
Understanding of open-source query engine architecture and configuration
Practical knowledge of columnar data formats — internals and trade-offs
Proficiency in Docker
Understanding of CI/CD pipelines for infrastructure and service delivery
Awareness of microservice design patterns
Experience with on-prem infrastructure
Experience with observability tooling
Working knowledge of Kubernetes
Experience in C++ / Rust
Be part of a dynamic and innovative team at the forefront of data technology
Work in a collaborative environment that values creativity and diversity
Competitive salary
Private medical care (fully covered)
MultiSport card (partially covered)
Team building activities
If you are interested in this position, we look forward to receiving your complete application. Please submit your CV in English. We look forward to welcoming you to our team in Krakow.
About MDPIHeadquartered in Switzerland, MDPI is a fully Open Access publisher with a portfolio of more than 500 journals across all scientific disciplines. To date, MDPI has published the works of over 4.5 million researchers, collaborating with an extensive network of academic institutions and scientific societies worldwide. Above all, MDPI is committed to ensuring that high-quality research is freely accessible to readers across the globe.
InitiativesAt MDPI, we develop and maintain various platforms in order to better serve the scientific community. Please find here-below a list of our main platforms:
https://www.mdpi.com/
https://sciprofiles.com/
https://sciforum.net/
https://www.scilit.net/
https://www.preprints.org/
https://encyclopedia.pub/
https://www.mdpi.com/books/
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Skills Required
- 2+ years of relevant work experience in data engineering or data platform engineering roles.
- Working knowledge of data engineering concepts.
- Strong knowledge of Python and SQL.
- Proficiency in Docker.
- Understanding of CI/CD pipelines for infrastructure and service delivery.
What We Do
MDPI Poland manages diverse, peer-reviewed, open-access journals and develops digital platforms and software to make research widely accessible to scholars worldwide.
