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(507674406111)-GFT_OUT: Data Engineer with GCP

Open 22d

Data Engineer (GCP)

RITS Group is an IT company delivering top-quality software development services to both the Polish and international markets. We are proud to be among the fastest-growing technology companies. Our priorities are quality and innovation, while our organizational culture is built on trust, collaboration, and continuous improvement.

We're looking for a Data Engineer (GCP)!

📍 Location: Kraków, Poland (hybrid model – 6 days per month in the office)
💰 Rate: up to PLN 160/hour (B2B)
🚀 Start: Mid-July 2026
📅 Project: Long-term (open-ended)

We are looking for an experienced Data Engineer to join a project for one of our clients. You will become part of a team responsible for developing a modern data platform built on Google Cloud Platform (GCP), supporting key analytical and business processes across the organization.

About the Project

The project focuses on building and enhancing a data platform within the Google Cloud Platform ecosystem. The team is responsible for integrating data from multiple sources, transforming it, and delivering high-quality data pipelines used by analytics and business teams.

We work in a modern, cloud-native environment, following Data Engineering best practices, CI/CD, workflow orchestration, and scalable data processing solutions.

Your Responsibilities

  • Design, build, and enhance Data Engineering solutions on Google Cloud Platform (GCP)

  • Develop and maintain efficient data pipelines

  • Integrate data from multiple sources and transform it to meet business requirements

  • Collaborate with analytics and business teams

  • Ensure data quality through testing and process monitoring

  • Participate in designing scalable and maintainable data architectures

Requirements

  • Strong hands-on experience with Google Cloud Platform (GCP)

  • Strong proficiency in Python and SQL

  • Practical experience with BigQuery and Cloud Storage

  • Experience with Apache Airflow or Cloud Composer

  • Proven experience building and maintaining production-grade data pipelines

  • Strong understanding of data modeling concepts (Data Lake, Data Warehouse, Star Schema, Snowflake)

  • Experience with CI/CD and workflow orchestration

  • Ability to design scalable and maintainable data solutions

  • Experience with data quality, testing, and data observability

Nice to Have

  • Experience with PySpark

  • Knowledge of the Apache Spark and/or Hadoop ecosystem

  • Experience with streaming technologies or Big Data solutions

  • Experience developing backend services in Python

See also