👉 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.