Senior Data Engineer

✅ Your responsibilities:

• Design, build, and deliver customer data ingestion and data warehousing solutions.

• Implement scalable, repeatable ETL/ELT pipelines following data engineering best practices.

• Build and maintain data transformation workflows using DBT.

• Model, optimize, and maintain analytical datasets in Google BigQuery.

• Orchestrate, schedule, and monitor data pipelines using Apache Airflow (Google Composer).

• Work closely with stakeholders from data discovery through implementation and data quality validation.

• Define and maintain data validation and QA/QC test suites.

• Support production environments and ensure pipeline reliability, including on-call rotations.

  
  

🧠 Our requirements:

• 4+ years of experience in Data Engineering (mid/senior level).

• Strong proficiency in Python for data pipelines and supporting services.

• Hands-on experience with DBT and ELT-based data modeling.

• Solid knowledge of Google BigQuery or comparable cloud data warehouses.

• Practical experience with Google Cloud Storage for data persistence and exchange.

• Experience with workflow orchestration tools such as Apache Airflow.

• Good understanding of scalable data architectures, data quality, and reliability concepts.

• Experience working in cloud-based environments (preferably GCP).

  
  

🌟Preferred Qualifications:

• Experience with Kafka or other event streaming platforms.

• Familiarity with Google Dataflow for batch and streaming data processing.

• Experience with Docker and containerized workloads.

• Knowledge of Terraform and infrastructure as code.

• Exposure to Google Kubernetes Engine (GKE).

• Experience supporting production systems with on-call tooling (e.g. PagerDuty).

🌟 What we offer:

• 100% remote work (EU time zones).

• Long-term, stable cooperation on a mature data platform.

• Work with a modern, cloud-native data stack on GCP.

• High-impact role focused on data pipelines, quality, and scalability.

• Collaborative, experienced engineering team with clear ownership.