We are looking for a Data Engineer who can own and deliver across data engineering tasks, integrations, and marketing systems. This is not a junior learning role: we need someone who can quickly understand production systems, solve problems independently, and ship reliable work
The core technical base is Python, SQL, and Bash. Experience with Google Tag Manager, pixel/conversion setup, and JavaScript is required. Airbyte and Airflow are nice to have, but not mandatory
Support and improve integrations in Airbyte and Airflow
Work with GTM, marketing data sources, tracking, pixels, and conversion workflows
Help move and transform data across BigQuery, GCS, Pub/Sub, ClickHouse, and external systems
Troubleshoot pipeline, tracking, payment, and data quality issues
Support payment orchestration data flows, including subscriptions and payment processing
Work with different systems in combination and document how data flows between them
Collaborate cross-functionally with Data, Marketing, Product, Engineering, and Billing teams
Growth Areas
You will develop across GCP infrastructure and DataOps, dbt, BigQuery, ClickHouse, Git, CI/CD, and software engineering practices. The role also includes exposure to internal monitoring platforms built with brokers, microservices, alerting, and observability tools, helping you grow system design skills through real production problems
Key Success Factors
Proactivity: we need someone who notices issues, asks questions early, follows through, and takes ownership without waiting for detailed instructions
High availability: on release days or during urgent tracking/payment setup, you should be ready to help in the evening when needed
Delivery mindset: the goal is not only to learn, but to deliver reliable work across data engineering, marketing systems, payment flows, and internal platforms
Location
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours