Data Engineer with Python

We are looking for a Senior Data Engineer who is not merely familiar with Google Cloud Platform and data engineering concepts through adjacent development or integration tasks, but someone who truly lives and breathes data. You should feel fully at ease working in cloud environments and have a deep commitment to building reliable, scalable, and high-quality data infrastructure.

This role is ideal for someone passionate about transforming raw data into meaningful insight, who understands the strategic value of data governance, and who thrives in dynamic, cross-functional teams.

Your tasks

• Designing, developing, and maintaining scalable data pipelines and ETL processes in GCP
• Optimizing data processing workflows for performance, reliability, and cost-efficiency
• Collaborating with data scientists, analysts, and business stakeholders to translate requirements into technical solutions
• Ensuring compliance with data quality standards and implementing governance best practices
• Driving and supporting the migration of on-premise data products to GCP
• Managing and evolving cloud-based infrastructure and deployment practices

Requirements

• A minimum of 5 years of experience in data engineering or a similar role
• Proficiency in Python and SQL, with hands-on experience working in cloud environments (GCP preferred)
• Solid experience with Google Cloud services: BigQuery, Cloud Storage, Pub/Sub, Cloud Build, Cloud Composer, DataFlow
• Familiarity with infrastructure and deployment tools such as Terraform, OpenShift, Docker, Kubernetes, and CI/CD pipelines
• Working knowledge of Oracle PL/SQL, Airflow, Git, Java, and Kafka
• Strong problem-solving skills, autonomy, and the ability to collaborate effectively in cross-functional teams
• Fluent Polish required
• Residing in Poland required