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About this opportunity
Quick summary
Position 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. 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.
Key Responsibilities
- Collaborate 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 and investigate and resolve platform incidents.
Required Hard Skills
- A university degree, ideally in Computer Science or 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.
Good to Have
- Experience with on-prem infrastructure.
- Experience with observability tooling.
- Working knowledge of Kubernetes.
- Experience in C++ / Rust.
About MDPI
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.
MDPI Serbia was established in 2016 to support the rapid global expansion of MDPI. Over the course of 10 years, we opened 1 office in Belgrade (New Belgrade) and 1 additional office in Novi Sad. We now have over 620+ employees in our 2 Serbian offices, dedicated to ensuring that high-quality research is made available as quickly as possible in different fields of science.
Initiatives
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:
#LI-Onsite #MDPISerbia
Listing details
- Employer
- MDPI Switzerland
- Location
- Beograd, RS
- Structured address
- Beograd, RS
- Category
- Engineering
- Base salary
- Not disclosed
- Valid through
- Check official source
- Reference
- 5801169