Scala Spark Data Engineer - Cloud Data Pipelines (GCP)

ALTEN Polska; Kraków; On-site; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Medicover medical care

Medicover Benefits platform

Medicover Sport card

Referral program

Group life insurance

Certification and training

Job summary

ALTEN Polska is seeking a Data Engineer to design, develop and maintain scalable data pipelines using Scala and Spark in Google Cloud Platform (GCP).

You will analyze data in large-scale datalakes, collaborate with global teams in a Scrum environment, and help refine backlog items while ensuring code quality and production releases.

Nice to have: GCP experience, Python basics, and CI/CD tools. Based in Kraków with opportunities for onsite work within ALTEN Polska.

Qualifications

• Experience building data pipelines with Scala and Spark.
• Proficient in navigating data ecosystems using cloud tools.
• Strong Scrum experience and collaboration with global teams.

Responsibilities

• Design, develop and maintain scalable data pipelines using Scala Spark in GCP.
• Analyze data in large-scale datalakes and validate tests.
• Collaborate with global teams (onsite and remote) in Scrum/Agile environment.
• Refine technical backlog items and support Product Owners in prioritization.
• Perform standard code maintenance: testing, refactoring, and debugging.
• Share knowledge across teams and participate in end-to-end product development, including production releases.

Skills

Scala

Spark

Scrum

English communication

Tools

GitHub

Jira

Confluence

Python

Job description

ALTEN Polska is seeking a Data Engineer to design, develop and maintain scalable data pipelines using Scala and Spark in Google Cloud Platform (GCP).

You will analyze data in large-scale datalakes, collaborate with global teams in a Scrum environment, and help refine backlog items while ensuring code quality and production releases.

Nice to have: GCP experience, Python basics, and CI/CD tools. Based in Kraków with opportunities for onsite work within ALTEN Polska.