Design and maintain efficient data pipelines, data lakes, and data warehouses.
Build and optimize ETL processes to ensure seamless data flow across platforms.
Manage and monitor database performance, ensuring data quality, security, and availability.
Collaborate with analysts, data scientists, and developers to deliver scalable data solutions.
Contribute to the continuous improvement of data architecture and engineering best practices.
Stay current with new tools, trends, and technologies in the data space.
requirements-expected :
4+ years of experience as a Data Engineer or similar role.
Solid SQL skills and hands‑on experience with both relational and No SQL databases.
Proficiency in Python, Java, or Scala.
Experience with data processing frameworks (e.g. , Spark, Flink) and ETL workflows.
Familiarity with cloud platforms (especially AWS) and tools like Databricks.
Strong communication skills and ability to translate technical solutions into business value.
offered :
A collaborative, creative, and data‑driven environment.
A diverse team of designers, analysts, engineers, and trend experts.
Access to modern tech stack and opportunities for growth.
Flexible working model and supportive company culture.
Benefits package including private health insurance and more.
benefits :
sharing the costs of sports activities
sharing the costs of professional training & courses
Data Engineer
Kraków, Lesser Poland Voivodeship, Polska - HAVI Global Business Services
