Data Engineer
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
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 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:
#LI-Onsite
- Team
- IT
- Locations
- Novi Beograd Office
