Data Engineer (España)

Data Engineer (España)

12 ago
|
Doist
|
España

12 ago

Doist

España

About usRuby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer‑led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/About the roleWe 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.RequirementsStrong Python, SQL, and Bash skillsExperience with Google Tag Manager, pixels, conversion setup, and JavaScriptExperience with Google Ads, Meta Ads,



Bing AdsEngineering mindset and ability to work with production data systemsBasic understanding of BigQuery, ClickHouse, dbt, and documentation practicesAirbyte or similar ingestion tool experience is nice to haveBasic Airflow familiarity is nice to haveStrong problem‑solving skills and attention to detailEveryday TasksSupport and improve integrations in Airbyte and AirflowWork with GTM, marketing data sources, tracking, pixels, and conversion workflowsHelp move and transform data across BigQuery, GCS, Pub/Sub, ClickHouse, and external systemsTroubleshoot pipeline, tracking, payment, and data quality issuesSupport payment orchestration data flows, including subscriptions and payment processingWork with different systems in combination and document how data flows between themCollaborate cross‑functionally with Data, Marketing, Product, Engineering, and Billing teamsGrowth AreasYou will develop across GCP infrastructure and DataOps, dbt, BigQ

📌 Data Engineer (España)
🏢 Doist
📍 España

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