Data Engineer: Spark, Scala & Data Lakes (Hybrid)

Talan; Kraków; Hybrid; PLN 189,633 - 273,915; Full time

Benefits offered by this job

Private medical insurance

Life insurance

Training and career development

Smart Office Pack

Job summary

A global consulting firm is seeking a highly skilled Data Engineer to design and maintain scalable data solutions. The ideal candidate will have over 4 years of experience with ETL pipelines and a strong background in big data technologies like Apache Spark and Scala. This hybrid position in Kraków, Poland, offers full-time employment, training, and great benefits including private medical insurance and flexible work options.

Qualifications

• 4+ years of experience in implementing ETL pipelines.
• 2+ years of experience working with Apache Spark.
• 2+ years of hands-on experience with Scala programming.
• Strong expertise in SQL and relational database systems.

Responsibilities

• Design, develop, and optimize robust ETL pipelines.
• Build and maintain high-performance data models.
• Ensure data quality through strong validation practices.
• Collaborate closely with cross-functional teams.

Skills

ETL pipeline implementation

Apache Spark

Scala programming

BI tools

SQL

Data validation

CI/CD principles

Tools

Databricks

Power BI

Starburst

Apache Hive

AWS S3

Job description

A global consulting firm is seeking a highly skilled Data Engineer to design and maintain scalable data solutions. The ideal candidate will have over 4 years of experience with ETL pipelines and a strong background in big data technologies like Apache Spark and Scala. This hybrid position in Kraków, Poland, offers full-time employment, training, and great benefits including private medical insurance and flexible work options.