Data Engineer

Role overview

A Data Engineer is needed to design and maintain the data infrastructure that powers machine learning and analytics initiatives across a fast-growing digital business. The role focuses on building scalable pipelines and architectures that handle very high volumes of daily changes while ensuring data quality across the platform.

Responsibilities

- Design, develop, and maintain scalable batch ETL and near-real-time data pipelines across diverse, high-velocity data sources - Ensure delivered data meets strict standards for quality, accuracy, and consistency - Identify and implement internal process improvements to optimize data delivery and re-architect infrastructure for better scalability - Build new API integrations to support growing data volume and complexity - Collaborate with data scientists, MLOps engineers, product owners, and BI analysts to understand business processes and system architecture for specific product features

Requirements

- Bachelor's degree or equivalent experience in Computer Science, Engineering, Mathematics, or a related technical field - Three or more years of experience in data engineering, data platforms, BI, or a closely related domain - Hands-on experience delivering data-centric projects including operational data stores, data warehouses, and data integration work - Production experience with large-scale relational and NoSQL databases and data modelling - Working knowledge of data architectures and event-driven architectures - Proficiency in SQL, familiarity with at least one scripting language (preferably Python), and experience with Apache Airflow and Apache Spark - Solid understanding of cloud data services, including AWS offerings such as S3, Athena, EC2, Redshift, EMR, EKS, RDS, and Lambda

Nice to have

- Understanding of machine learning models - Familiarity with containerisation and orchestration technologies such as Docker or Kubernetes - Relevant knowledge or experience in the gaming industry

Benefits and work setup

- Remote-first organisation with sustainability goals - Competitive salary plus quarterly individual performance bonuses - 28 days of paid annual leave - Core working hours of 10am–3pm in the local time zone, with flexibility outside that window - Referral and other flash bonuses - Top-of-the-line equipment provided - Annual company retreats for internal networking - Interview process includes a remote video screening, an offline take-home assignment, and a 90-minute remote video interview with team members