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About the role 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.
Requirements Strong Python, SQL, and Bash skills
Experience with Google Tag Manager, pixels, conversion setup, and JavaScript
Experience with Google Ads, Meta Ads, Bing Ads
Engineering mindset and ability to work with production data systems
Basic understanding of BigQuery, ClickHouse, dbt, and documentation practices
Airbyte or similar ingestion tool experience is nice to have
Basic Airflow familiarity is nice to have
Strong problem‐solving skills and attention to detail
Everyday Tasks 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, Cli
📌 Data Engineer (Madrid)
🏢 Doist
📍 Madrid