Senior Data Engineer (iGaming)

TL;DR

Senior Data Engineer (Snowflake/AWS): Building and maintaining reliable, scalable data infrastructure with an accent on DBT transformations and marketing data stream optimization. Focus on designing layered Snowflake architectures, developing robust Airflow DAGs, and bridging the gap between raw data and analyst-ready products.

Location: Fully remote (Work from anywhere)

Company

All-in-one source for cutting-edge white label casino, sportsbook solutions and B2B aggregation.

What you will do

• Design and maintain layered DBT models (staging, intermediate, marts) in Snowflake and write data quality tests.
• Build and maintain data pipelines using Airflow with Python-based DAGs.
• Manage data integrations via Airbyte, specifically for marketing sources like GA4, Facebook, and TikTok Ads.
• Manage AWS S3 storage, including buckets, partitioning, and access control.
• Own CI/CD pipelines for data workflows, including automated testing and monitoring.
• Collaborate with analysts to translate business needs into well-modeled, trustworthy datasets.

Requirements

• 4+ years of experience building production data pipelines.
• Strong hands-on experience with Snowflake and DBT.
• Advanced SQL fluency and Python proficiency for ETL and Airflow development.
• Basic knowledge of AWS (S3, IAM) and CI/CD principles.

Nice to have

• Experience with Power BI or OpenMetadata.
• Hands-on experience with Airbyte.
• Familiarity with marketing data sources and attribution models.

Culture & Benefits

• Fully remote work arrangement with flexible working hours.
• 28 paid days off per year.
• 3 paid sick days annually without requiring a medical certificate.
• Seniority leave and a dedicated day off for your birthday.
• Professional growth opportunities within a fast-paced startup environment.