Position Overview

Become a player in our data engineering team, grow on a personal level and help us build the foundation of our data-driven success! As a Data Engineer, you will be a part of our growing team, working alongside experienced data professionals to design and implement scalable data systems. You will contribute to the development of data pipelines, ensure data quality, and collaborate on various projects that enhance our data capabilities.

Key Responsibilities

• Data Pipeline Development: Assist in designing, building, and maintaining efficient data pipelines.
• Data Modeling: Work on data modeling tasks to support the creation and maintenance of data warehouses.
• Data Acquisition: Integrate data from multiple sources, ensuring data consistency and reliability.
• Data Orchestration and DataOps: Collaborate in implementing and managing data orchestration processes and tools.
• Data Monitoring: Help establish monitoring systems to maintain high standards of data quality and availability.
• Team Collaboration: Work closely with the Data Architect, Senior Data Engineers, and other members across the organization on various data infrastructure projects.
• Continuous Improvement: Participate in the optimization of data processes, seeking opportunities to enhance system performance.

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 roles.
• Experience in data acquisition, laking, warehousing, modeling, and orchestration.
• Proficiency in SQL (including window functions and CTE).
• Proficiency in RDBMS (e.g., MySQL, PostgreSQL).
• Strong programming skills in Python (with libraries like Polars, optionally Arrow / PyArrow API).
• First exposure to OLAP query engines (e.g., Clickhouse, DuckDB, Apache Spark).
• Familiarity with Apache Airflow (or similar tools like Dagster or Prefect).

Good to Have

• Knowledge of common columnar file formats used in data applications.
• Knowledge in data partitioning and incremental scalability
• Knowledge in data quality and data governance
• Experience in entity disambiguation.
• Familiarity with orchestration and containerization technologies (e.g., Docker, Kubernetes).
• Knowledge of Linux (Ubuntu/Debian).
• Experience with Git and Atlassian tools (Jira, Confluence).
• Understanding of dbt.
• Understanding of graph databases (e.g., neo4j).

Required Soft Skills

• Strong teamwork and communication skills.
• Ability to work independently and manage your time effectively.
• Comfortable working in a diverse, international environment.

Why Join Us?

• Be part of a dynamic and innovative team at the forefront of data technology.
• Opportunity to lead and shape a new team, driving impactful projects.
• Work in a collaborative environment that values creativity and diversity.
• Competitive salary and benefits package.

About MDPI

A pioneer in scholarly, open access publishing, MDPI has supported academic communities since 1996. Headquartered in Basel, Switzerland, MDPI has the mission to foster open scientific exchange in all forms, across all disciplines.

We operate currently over 400 diverse, peer-reviewed, open-access journals supported by over 66,000 academic editors. We serve scholars from around the world to ensure the latest research is openly and broadly available.

Besides our main publishing business, we develop and maintain digital platforms and software ranging from scientific exchange platforms to article databases and search engines, all focused on empowering scholars and giving them the best possible product and service. As of the end of 2022, we count more than 6700 colleagues in 17 offices across 11 countries.

MDPI Serbia was established in 2016 to support the rapid global expansion of MDPI. Over the course of 9 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: