Senior Data Engineer

3 miesięcy temu

Kraków, Polska MDPI Pełny etat

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.

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 MySQL, PostgreSQL).
Strong programming skills in Python (with libraries like Polars, optionally Arrow / PyArrow APIf).  Experience with OLAP query engines 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 Docker, Kubernetes).
Knowledge of Linux (Ubuntu/Debian).
Experience with Git and Atlassian tools (Jira, Confluence).
Knowledge of dbt.
Understanding of graph databases 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

#Li-Onsite

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