Data Engineer

The role is working within our AI group

The AI group works with all studios under Tripledot, engaging with Data teams, Products teams, and Engineering teams.

Role Overview

Working within a group function that is aimed to work with all group studios. Within the group AI functions you’ll be working with other AI/ ML Eng, Data engineers, analysts and product owners..

Within the various studios you will interact with data, engineering, and product teams. The group AI function’s goal is to make Tripledot an AI first company. You’ll be reporting into the VP of AI. The role will be directly contributing to main games KPIs such as retention, revenue, player experience, as well as to company efficiency and time to market in developing games and features.

Progression opportunities will be within the AI group or to studios in the group. The first initiative you’ll be taking part of is LTV predictions both for Ad based revenues and IAP based ones.

Key Responsibilities

• Design, build, and maintain scalable and reliable data pipelines to support AI/ML initiatives across the studio.
• Collaborate with data scientists, ML engineers, analysts, and game developers to understand data needs and translate them into robust infrastructure solutions.
• Develop and maintain ETL/ELT workflows that ingest and transform structured and unstructured data from various sources (e.g., game telemetry, player behavior, marketing).
• Work with cloud platforms (e.g., AWS, GCP, Azure) to manage and optimize data lakes, warehouses (e.g., BigQuery, Redshift), and orchestration tools (e.g., Airflow).
• Ensure data quality, consistency, and governance across all stages of the data lifecycle.
• Monitor and troubleshoot data pipelines and ensure timely delivery of data to downstream systems.
• Enable real-time and batch data processing to support AI use cases like player segmentation, churn prediction, personalization, and content optimization.
• Advocate for best practices in data engineering, including CI/CD, version control, testing, and observability.

Required Skills, Knowledge and Expertise

• 4+ years of experience as a Data Engineer, ideally within gaming, mobile apps, or digital products.
• Strong proficiency in SQL and Python.
• Experience with OLAP Databases.
• Understanding of DBT.
• Hands-on experience with data pipeline orchestration (e.g., Airflow, Prefect, Dagster).
• Experience with big data technologies and distributed systems (e.g., Spark, Kafka, Flink).
• Familiarity with machine learning workflows, feature stores, and model serving is a plus.
• Solid understanding of cloud infrastructure (e.g., GCP, AWS) and containerization (Docker, Kubernetes).
• Passion for gaming and an interest in using AI to create better player experiences.
• Strong Data Modelling skills.
• A collaborative mindset with strong communication skills and a product-focused approach.