Senior Data Engineer Python GCP Airflow, KRAKÓW

• Strong proficiency in Python for backend or data processing
• Hands-on experience with Google Cloud Platform including BigQuery, Cloud Storage, Compute Engine or GKE
• Experience with Apache Airflow for workflow orchestration
• Strong experience with ETL and data integration pipelines
• Experience with Spark
• Knowledge of NoSQL databases
• Strong knowledge of relational databases
• Strong understanding of data architecture
• Good understanding of data quality
• Strong understanding of data integration

Nice to have skills:

• Familiarity with Apache Beam

What will you do?

You will join a modern data platform initiative focused on building scalable data solutions in Google Cloud Platform. The project involves designing robust data pipelines, developing data models, and ensuring reliable and high-quality data for business decision-making. You will collaborate with cross-functional teams to deliver efficient and maintainable data architecture.

We offer

• Hybrid work in Krakow (4 office days per month)
• Working in a highly experienced and dedicated team
• Benefit package tailored to your needs (medical, sport, lunch subsidy, life insurance, etc.)
• Online training and certifications
• Access to e‑learning platform
• Social events

,[Design, develop, and maintain scalable data pipelines and ETL processes, Build and manage Apache Airflow DAGs for workflow orchestration, Develop data processing logic using Python and frameworks like DBT or Spark, Work with BigQuery and Cloud SQL to store and transform data, Implement and maintain data architecture and data models, Ensure data quality, integrity, and reliability, Collaborate with business stakeholders to translate requirements into data solutions, Maintain technical documentation and contribute to data standards, Support deployment and monitoring of pipelines in GCP environments, Participate in code reviews and improve engineering best practices] Requirements: Python, GCP, BigQuery, Apache Airflow, ETL, Spark, NoSQL, Relational database, Apache Beam Additionally: Home office, Knowledge sharing, Life insurance, Sport subscription, Training budget, Private healthcare, International projects, Integration events, Free coffee, Playroom, Free snacks, Free beverages, In-house trainings, In-house hack days, Modern office, Free fruits.