AI Data Engineer

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.

Working at Tripledot

• 25 days paid holiday in addition to bank holidays to relax and refresh throughout the year.
• Hybrid Working: We work in the office 3 days a week, Tuesdays and Wednesdays, and a third day of your choice.
• 20 days fully remote working: Work from anywhere in the world, 20 days of the year.
• Daily Free Lunch: In the office you get £12 every day to order from JustEat
• Regular company events and rewards: quarterly on-site and off-site events that celebrate cultural events, our achievements and our team spirit.
• Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand.
• Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy]
• Life Assurance & Group Income Cover: Financial protection for you and your loved ones.
• Continuous Professional Development
• Private Medical Cover & Health Cash Plan
• Dental Cover
• Cycle to Work Scheme
• Pension Plan

About Tripledot

We are Tripledot Studios, our mission is to bring the knowledge and experience of a chart-topping mobile games company into a close-knit, collaborative environment. Our teams drive projects together from conception to launch in an indie-style process combining data and creativity to make games that can be enjoyed by everyone.

Our Hiring Process

• Stage 1: Talent Acquisition Interview
• Stage 2: Manager Interview
• Stage 3: Director Interview
• Stage 4: Final interview
• Stage 5: Hired