Remote Data Engineer - Marketing Systems & Data Pipelines

Ruby Labs Ltd

España

Remote

EUR 60,000 - 90,000

Full time

14 days+
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Benefits offered by this job

Remote work
Unlimited PTO
Paid holidays
MacBook provided
Contractor agreement

Job summary

Ruby Labs Ltd is seeking a Data Engineer to own data engineering tasks, integrations, and marketing systems. Core stack is Python, SQL, and Bash, with experience in Google Tag Manager, pixels, conversion setup, and JavaScript.

Airbyte and Airflow are nice to have; you will work across BigQuery, ClickHouse, Pub/Sub, and other systems, collaborating with Data, Marketing, Product, Engineering and Billing teams.

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Python
SQL
Bash
Google Tag Manager
JavaScript
Google Ads
Meta Ads
Bing Ads
Production data
BigQuery
ClickHouse
dbt
Documentation
Airbyte
Airflow

Tools

Airbyte
Airflow

Job description

Ruby Labs Ltd is seeking a Data Engineer to own data engineering tasks, integrations, and marketing systems. Core stack is Python, SQL, and Bash, with experience in Google Tag Manager, pixels, conversion setup, and JavaScript.

Airbyte and Airflow are nice to have; you will work across BigQuery, ClickHouse, Pub/Sub, and other systems, collaborating with Data, Marketing, Product, Engineering and Billing teams.

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