GCP Data Engineer

Quick Facts

GCP Data Engineer focused on building and maintaining Lakehouse data layers and data pipelines on Google Cloud.

Description

Develop and support Lakehouse Gold/Platinum layers, data transformations, and orchestrated pipelines using dbt, PySpark, and Airflow. Improve BigQuery performance and support FinOps cost optimization, while managing infrastructure with Terraform and CI/CD with GitHub Actions. Contribute to cloud security and data governance (IAM, DLP) and work with Dataplex for metadata management and governance.

Responsibilities

• Develop and maintain Lakehouse Gold and Platinum layers
• Build and optimize data transformation workflows with dbt and PySpark
• Design, schedule, and monitor data pipelines with Airflow
• Improve BigQuery performance and support FinOps optimization
• Manage infrastructure as code with Terraform
• Implement and maintain CI/CD with GitHub Actions
• Support cloud security and data governance practices (IAM and DLP)
• Work with Dataplex for data management and governance
• Collaborate with stakeholders and engineering teams to deliver reliable data solutions

Requirements

• Hands-on experience with dbt
• Experience with Apache Airflow workflow orchestration
• Strong Python programming skills
• Experience with PySpark-based data processing
• Practical experience with BigQuery
• Experience designing and developing data lakehouse solutions
• Knowledge of medallion architecture concepts
• Experience with performance and cost optimization in BigQuery
• Experience with GitHub Actions and CI/CD implementation
• Experience with Infrastructure as Code using Terraform
• Understanding of data security concepts (IAM, RBAC/ABAC, policy tagging, DLP)
• Familiarity with data governance concepts (metadata management, data lineage)
• Experience participating in code reviews and establishing engineering standards
• Ability to provide technical consulting and collaborate with cross-functional teams
• Strong communication and teamwork skills

Benefits

• Development budgets up to 6,800 PLN
• Funding for certifications (e.g., AWS, Azure)
• Access to Udemy and O’Reilly
• Events and technology conferences; technology guilds
• Internal training and “Xebia Upskill”
• Private medical healthcare
• MultiSport card subsidy
• Mental health support