Data Architect

Become a key player in our data engineering team and help us build the foundation of our data-driven success!

As a Senior Data Engineer, you will play a critical role in designing, developing, and optimizing our data infrastructure. You will work closely with a team of data engineers, under the leadership of our Data Architect, to ensure data quality, scalability, and efficiency across the organization. Your technical expertise and problem-solving skills will be vital in shaping our data landscape.

This is a fully in-office role based in Kraków

Salary gross: 25 000 - 35 000 PLN monthly

Key responsibilities:

• Data Infrastructure Development: Contribute to the design and implementation of data lakes, data warehouses, and ETL/ELT pipelines.
• Data Modeling: Develop and maintain data models to support the efficient storage and retrieval of data.
• Data Orchestration and DataOps: Implement and optimize data pipelines, ensuring seamless data flow and processing.
• Data Acquisition: Integrate and process data from multiple sources, ensuring consistency and accuracy.
• Monitoring and Maintenance: Develop and implement monitoring systems to ensure data quality and availability.
• Collaboration: Work closely with the Data Architect and other team members to ensure alignment on technical strategies and project goals. Work effectively within a diverse, international team spread across Switzerland, Serbia, and China.
• Optimization: Continuously seek to improve the performance, scalability, and reliability of the data infrastructure.

Required Hard Skills:

• University degree, ideally a Masters in Computer Science or related science, technology or engineering field.
• 5+ years of relevant work experience in data engineering roles.
• Proven experience in data acquisition, laking, warehousing, modeling, and orchestration.
• Strong knowledge of common columnar file formats used in data applications.
• Expertise in data partitioning and incremental scalability.
• Expertise in data quality and data governance.
• Advanced skills 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 APIf).
•  Experience with OLAP query engines (e.g., Clickhouse, DuckDB, Apache Spark).
• Experience with Apache Airflow (or similar tools like Dagster or Prefect).

Good to Have:

• 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).
• Knowledge 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 shape a new team, driving impactful projects.
• Work in a collaborative environment that values creativity and diversity.
• Competitive salary.
• Private medical care (fully covered).
• MultiSport card (partially covered).
• Team building activities.

If you are interested in this position, we look forward to receiving your complete application. Please submit your CV in English. We look forward to welcoming you to our team in Krakow.

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.

Initiatives

At MDPI, we develop and maintain various platforms in order to

better serve the scientific community. Please find below a list of our

main platforms:

https://www.mdpi.com/

https://sciprofiles.com/

https://sciforum.net/

https://www.scilit.net/

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https://encyclopedia.pub/

https://www.mdpi.com/books/

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