Инженер данных

Headquartered in Switzerland, MDPI is a fully Open Access publisher with a portfolio of more than 500 journals across all scientific disciplines. MDPI Serbia was established to support the rapid global expansion of the organization, operating offices in Belgrade and Novi Sad with a team dedicated to making scientific research widely available.

• 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.

• Hold a university degree, ideally in Computer Science or related science, technology or engineering field;
• Have 2+ years of relevant work experience in data engineering or data platform engineering roles;
• Possess working knowledge of data engineering concepts including data acquisition, modeling, orchestration, warehousing, laking, data quality, lineage and governance;
• Demonstrate strong knowledge of Python and SQL;
• Understand open-source query engine architecture and configuration;
• Have practical knowledge of columnar data formats, internals and trade-offs;
• Show proficiency in Docker;
• Understand CI/CD pipelines for infrastructure and service delivery;
• Demonstrate awareness of microservice design patterns;
• Nice to have: Experience with on-prem infrastructure, Experience with observability tooling, Working knowledge of Kubernetes, Experience in C++ / Rust.

• No conditions specified