Marketing Data Engineer — Remote, Impact & Growth

Ruby Labs; España; On-site; PHP 4,357,000 - 6,536,000; Part time

Benefits offered by this job

Remote Work Environment

Unlimited PTO

Paid National Holidays

Company-provided MacBook

Flexible Independent Contractor

Job summary

Ruby Labs is seeking 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.

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

Tools

Google Tag Manager

Pixels

JavaScript

BigQuery

ClickHouse

dbt

Airbyte

Airflow

Job description

Ruby Labs is seeking 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.