Data Engineer

Krakówmid

Data EngineerData

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Quick Summary

Overview

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.

Requirements Summary

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.

Technical Tools

cppdockerkubernetespythonrustsqlci-cd

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.

Responsibilities

~1 min read

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Collaborate with Data Engineers to support and help shape data engineering standards — covering areas like pipeline design, data quality, and lineage
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Contribute to data governance practices by ensuring platform components align with ownership, access, and observability requirements
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Own deployments for assigned platform components and maintain version-controlled infrastructure modules
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Design, deploy, and operate containerized services using Docker and Kubernetes
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Manage and tune open-source query engine deployments for reliability and performance
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Build and maintain monitoring, logging, and alerting stacks for platform services
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Contribute to CI/CD pipelines for platform service delivery and infrastructure automation
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Evaluate and integrate open-source data file format libraries
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Document architecture decisions for owned components
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Investigate and resolve platform incidents

Requirements

~1 min read

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

What We Offer

~1 min read

✓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

Headquartered 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.

At 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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