Hybrid Senior Data Engineer – Contract

at Tripledot Studios

• Job title: Senior Data Engineer – Contract
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, Amazon Redshift, Apache, AWS, Cloud, Distributed Systems, Docker, ETL, Google Cloud Platform, Kafka, Kubernetes, Python, Spark, SQL
• Location requirements: Hybrid, London, United Kingdom

About the role

• Senior Data Engineer developing scalable data solutions within AI group at Tripledot. Collaborating with cross-functional teams to enhance game performance and player experience.

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 to manage and optimize data lakes, warehouses, and orchestration tools.
• 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.

Requirements

• 4+ years of experience as a Data Engineer, ideally within gaming, mobile apps, or digital products.
• Hands-on experience with data pipeline orchestration (e.g., Airflow, Prefect, Dagster).
• Strong proficiency in SQL and Python.
• Experience with databases like Trino, BQ and Redshift is a plus.
• Proven track record of using big data technologies and distributed systems (e.g., Spark, Kafka, Flink) for large scale processing.
• Solid understanding of cloud infrastructure (mainly AWS, but understanding of other providers like GCP is a plus) and containerization (Docker, Kubernetes).
• Familiarity with machine learning workflows, feature stores, and model serving is a plus.
• Strong Data Modelling skills, schema evolution management and usage of open table formats, like Apache Iceberg.
• Usage of generative AI for daily tasks is a plus.
• Passion for gaming and an interest in using AI to create better player experiences.
• A collaborative mindset with strong communication skills and a product-focused approach.

Benefits

• **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, in addition to hybrid policy, 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**
• **Family Forming Support**
• **Life Assurance & Group Income Cover**
• **Continuous Professional Development**
• **Private Medical Cover & Health Cash Plan**
• **Dental Cover**
• **Cycle to Work Scheme**
• **Pension Plan**