Torrero
51 - 200 employees
Founded 2019
🎲 Gambling
🤝 B2B
Gambling • B2B • Payments
Torrero is a B2B iGaming platform provider that builds bespoke white-label and turnkey casino and sportsbook solutions. The company offers an in-house platform and CMS, an API casino games aggregator, payments integrations, KYC and risk services, multilingual customer support, data and management tools, and licensing/hosting options to deliver end-to-end products for gaming operators.
Data Engineer
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🔥 0 minutes ago
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Torrero
51 - 200 employees
Founded 2019
🎲 Gambling
🤝 B2B
Gambling • B2B • Payments
Torrero is a B2B iGaming platform provider that builds bespoke white-label and turnkey casino and sportsbook solutions. The company offers an in-house platform and CMS, an API casino games aggregator, payments integrations, KYC and risk services, multilingual customer support, data and management tools, and licensing/hosting options to deliver end-to-end products for gaming operators.
📋 Description
• Data modeling & transformation • Build and maintain DBT models in Snowflake — design layered architecture (staging, intermediate, marts), write data quality tests (Elementary) • Write clean, well-structured Python and SQL; participate in code reviews and help define engineering standards for the data team • Design and maintain data pipelines using Airflow (DAGs in Python) • Manage data integrations via Airbyte — starting with marketing sources (GA4, Facebook Ads, TikTok Ads) and expanding to other streams over time • Use AWS S3 as the primary storage layer — manage buckets, partitioning, and access control • Own CI/CD pipelines for data workflows — automated testing, deployment, and monitoring • Monitor data quality and pipeline reliability; proactively identify and fix issues before they reach downstream consumers • Work closely with analysts to understand their data needs and translate them into well-modeled datasets • Bridge the gap between raw data and analyst-ready tables — create models clearly so analysts can work independently
🎯 Requirements
• 4+ years building production data pipelines • Strong hands-on experience with Snowflake and DBT (models, tests) • Advanced SQL — you write it fluently and can optimize it when needed • Python proficiency for Airflow DAG development and ETL development • Basic AWS knowledge (S3, IAM — enough to operate independently) • Basic understanding of CI/CD • Nice to have: Experience with Power BI, OpenMetadata • Familiarity with marketing data sources: GA4, Facebook Ads API, TikTok Ads API • Knowledge of marketing attribution models (first-touch, last-touch, data-driven)
🏖️ Benefits
• Fully remote job - work from anywhere you want • Flexible working hours • Competitive compensation • 28 paid days off per year • 3 paid sick days a year without medical certificate • Seniority leave • Birthday Day off • Real career opportunities and professional growth • The great team across the world
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