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 hireIf this sounds like you, please apply below!