Data Engineer

Data Engineer – Fully Remote- within GMT+4 timezones! I’m currently partnering with a fast-growing B2B SaaS iGaming company building AI-powered products for the Gaming industry, who are looking for a Data Engineer to join their team on a fully remote basis. This is a hands-on data engineering role working across real-time, near-real-time, and batch data pipelines, supporting high-scale products across personalisation, recommendation, fraud detection, and AI/ML use cases. 🛠️ What You’ll Be Doing: • Build and maintain scalable batch, near-real-time, and real-time data pipelines. • Develop production-grade pipelines using Kafka, Spark, Databricks, PySpark, and Airflow. • Design and optimise data models and distributed processing workflows for high-volume datasets. • Work closely with Data Science and Backend Engineering teams to support ML, recommendation, personalisation, and fraud detection initiatives. • Improve testing, monitoring, reliability, and performance across production data systems. • Troubleshoot production issues and contribute to the ongoing stability and scalability of the data platform. ✅ What We’re Looking For: • 3+ years’ experience in Data Engineering or Software Engineering focused on data. • Strong Python and PySpark experience. • Strong hands-on experience with Kafka and stream processing. • Strong commercial experience with Databricks. • Experience with Apache Airflow or similar orchestration tools. • Strong SQL, data modelling, and relational database experience. • Strong software engineering fundamentals, including testing, CI/CD, monitoring, and production reliability. • Exposure to Flink, ML pipelines, MLOps, feature stores, GenAI, Docker, Kubernetes, or iGaming is a bonus. 🎁 Package & Benefits: 💰 $4,500-$5,500 USD per month, depending on experience + discretionary annual bonus 🏠 Fully remote role - candidates must be based within GMT+4 🏖️ 30 days annual leave ⚡ 3-stage interview process – urgent hire If this sounds like you, please apply below!