Senior Data Engineer

Overview

In this role, you will help build a centralized game event data hub across studios and ensure data health. You’ll own ingestion, preparation, and quality checks, coordinating with studio data engineers to align solutions. Over time, you’ll rotate into productionizing ML pipelines and ongoing maintenance. You will work within the central AI team to improve monitoring and enable rapid alerts when issues arise. This is a high-impact, cross-functional role at a world-leading mobile games company.

Pay / Benefits

• 25 days paid holiday
• Hybrid working (3 days in office)
• 20 days remote working
• Daily free lunch
• Employee Assistance Program
• Pension Plan

Responsibilities

• Build the game event data hub and ingest data from multiple studios
• Develop and orchestrate data ingestion, data preparation, quality checks, and backfills
• Centralize dataset metadata and data quality information using OpenMetadata
• Improve monitoring and notifications for pipeline or data asset health
• Coordinate changes with studio data engineers to align with their needs
• Contribute to productionizing machine learning pipelines and maintain them across rotations

Key requirements

• Experience building and operating data pipelines (ingestion, preparation, quality checks, backfills, orchestration)
• Working knowledge of Kubernetes, Airflow, SQL and Spark
• Practical, reliable approach to delivering work and maintaining systems
• Collaborative mindset to work with engineers across studios

• collaboration
• reliability
• proactive problem-solving
• data pipelines
• Kubernetes
• Airflow

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