Data Engineer

Torrero

Senior Data Engineer building scalable data infrastructure on Snowflake and AWS for a dynamic iGaming startup. Collaborating closely with analysts to turn raw data into trustworthy data products and insights.

Posted 6/11/2026contractRemote • 🌎 Anywhere in the WorldMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowAWSETLPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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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Hard Skills & Tools

data modelingdata transformationDBTSnowflakePythonSQLAirflowCI/CDdata qualityETL

Soft Skills

code reviewsengineering standardscollaborationproblem-solvingcommunication