Mid-Level Google Cloud Data Engineer – Data Pipeline & Cloud Storage

Ignite data transformation — shape the future of cloud-powered analytics!

Krakow-based opportunity with hybrid work model

As a Mid-Level Google Cloud Data Engineer, you will be working for our client, a leader in data engineering solutions, focused on building scalable, reliable data pipelines on Google Cloud Platform. You will contribute to delivering innovative data architectures that empower businesses with actionable insights and drive digital transformation.

Your main responsibilities:

• Build data pipelines integrating data from GCP cloud-exposed Data Assets
• Deliver data transformations based on requirements from Business Analysts
• Design robust data structures and pipeline architectures
• Orchestrate pipelines within CI/CD workflows to ensure continuous deployment
• Develop Data Lakes, Data Warehouses, or Star Schema/Snowflake models
• Ensure data pipeline quality with focus on auditability, re-runability, modularity, reusability, and unit testing

You're ideal for this role if you have:

• At least 3 years of experience with Google Cloud Platform
• Proficiency in Python and SQL
• Knowledge of Cloud Storage, BigQuery, and storage buckets
• Experience with Composer/Apache Airflow
• Background in building Data Lakes, Data Warehouses, or Star Schema designs
• Mature experience in delivering quality Data Pipelines
• Understanding of CI/CD workflows

It is a strong plus if you have: PySpark experience

Language Required for the role:

• Communicative command of English

Eligibility for the role:

• Only candidates with an existing legal right to work in the European Union will be considered for this role.

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Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.