Data Engineer

Who are we?

Tripledot Studios is one of the largest independent mobile games companies in the world.

We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.

Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users.

Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others.

We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games.

Our ambition is to be the most successful games company in the world, and we’re just getting started.

**Role Overview

**We are looking for a passionate Data Engineer to join our MarTech Team — the heart of marketing (UA) data analytics. You will play a key role in building and optimizing data pipelines that power business-critical insights and personalized marketing experiences with the focus on supporting the expansion of our proprietary rewarded marketing program. As a company, we process over 4 billion events per day and handle more than 100TB of data every month, ingesting data from various sources including mobile apps, marketing platforms, and internal systems to enable data-driven decision-making across campaigns and product strategies.

Key Responsibilities

• Build and maintain ETL pipelines using Python for marketing data workflows
• Develop and support Data Warehouses (Snowflake, Firebolt) and Data Lakes
• Integrate data from mobile marketing platforms into centralized data stores
• Automate and optimize data pipelines for scalability, performance, and cost efficiency
• Ensure data quality, validation, and governance across all data processes
• Collaborate with Marketing and in-house Studio teams to deliver data-driven solutions for business needs.

Required Skills, Knowledge and Expertise

• 4+ years of experience in Data Engineering
• 3+ years of hands-on experience with Python and Pandas/Polars
• Strong working knowledge of SQL for data querying and transformation
• Proficient understanding of distributed computing principles
• Practical experience with Airflow for workflow orchestration
• Experience with Snowflake or other modern OLAP databases
• Solid understanding of data modeling concepts
• Excellent English communication skills, both written and verbal