👉 Data Engineer (GCP)

🟣You will be: • designing, delivering, and maintaining large scale, production grade data platforms, • designing and implementing cloud native architectures, preferably on Google Cloud Platform, • designing and developing scalable ETL solutions handling diverse data formats, • building and managing complex data workflows using Apache Airflow, • developing and maintaining high volume batch and streaming data processing pipelines using Apache Spark, • work with large scale data processing workloads, including billions of events per day, • implementing Infrastructure as Code using Terraform, • building and maintaining automated CI CD pipelines, • collaborating on production grade data and ML platforms. 🟣 Your profile: • at least 5 years of professional experience in Data Engineering, • proven experience delivering and maintaining production data platforms, • strong experience with Google Cloud Platform and ability to design cloud native architectures, • expert-level knowledge of Apache Airflow for workflow orchestration, • strong programming skills in Python and SQL, • hands-on experience with Apache Spark for batch and streaming processing, • experience working with large-scale data processing systems, • experience handling multiple data formats • practical experience with Infrastructure as Code using Terraform, • experience building automated release and deployment pipelines, • hands- on experience with GitHub Actions, Docker, and Kubernetes, • openness to on-site workshops 1-3 per quarter in Warsaw and Poznań. • practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. Work from the European Union region and a work permit are required. 🟣 Nice to have: • experience in productionizing and deploying Machine Learning models at scale, • experience with Vertex AI,  • experience with scaling high-performance data processing systems,  • experience with building scalable REST APIs for Machine Learning inference, • strong focus on software development best practices, • experience with Test Driven Development, • ability to write comprehensive unit and integration tests for Spark and Airflow, • professional GCP Data Engineer certification. 🟣 Recruitment Process: CV review – HR call – Technical Interview – Client Interview I – Client Interview II (potential ) – Hiring Manager call – Decision    🎁 Benefits 🎁 ✍ Development: • development budgets of up to 6,800 PLN, • we fund certifications e.g.: AWS, Azure, • access to Udemy, O'Reilly (formerly Safari Books Online) and more, • events and technology conferences, • technology Guilds, • internal training, • Xebia Upskill. 🩺 We take care of your health: • private medical healthcare, • multiSport card - we subsidise a MultiSport card, • mental Health Support. 🤸‍♂️ We are flexible: • B2B or employment contract, • contract for an indefinite period.