Informacje o stanowisku

technologies-expected :

• AWS Glue
• DBT
• Spark
• Metabase
• DataDog
• Great Expectations
• Postgres
• TimescaleDB
• Python

• Create and maintain analytical workflows and data processes handling time-series and structured data.
• Monitor and improve data quality, accuracy, and completeness across multiple sources.
• Support data modeling, feature preparation, and result validation for analytical and predictive use cases.
• Write efficient Python scripts for data transformation, automation, and integration with external APIs.
• Collaborate with product, research, and engineering teams to design relevant KPIs and analysis frameworks.
• Contribute to improving the analytics environment with tools like DBT, Metabase, AWS Glue, or Spark.

• 4+ years of experience in data analysis or applied data science.
• Strong programming skills in R and Python (data processing, automation, and analytics).
• Good understanding of time-series structures, streaming data, and complex data models.
• Experience working with APIs and integrating data from multiple systems.
• Familiarity with machine learning workflows and model validation.
• Exposure to tools and platforms such as AWS Glue, DBT, Spark, Metabase, DataDog, Great Expectations, Postgres, or TimescaleDB.

• 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.

• sharing the costs of sports activities
• sharing the costs of professional training & courses
• life insurance

Kraków - Oferty pracy w okolicznych lokalizacjach