Nameless Ventures
Data Engineer
About the role
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:
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Build and maintain scalable batch, near-real-time, and real-time data pipelines.
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Develop production-grade pipelines using Kafka, Spark, Databricks, PySpark, and Airflow.
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Design and optimise data models and distributed processing workflows for high-volume datasets.
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Work closely with Data Science and Backend Engineering teams to support ML, recommendation, personalisation, and fraud detection initiatives.
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Improve testing, monitoring, reliability, and performance across production data systems.
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Troubleshoot production issues and contribute to the ongoing stability and scalability of the data platform.
✅ What We’re Looking For:
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3+ years’ experience in Data Engineering or Software Engineering focused on data.
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Strong Python and PySpark experience.
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Strong hands-on experience with Kafka and stream processing.
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Strong commercial experience with Databricks.
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Experience with Apache Airflow or similar orchestration tools.
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Strong SQL, data modelling, and relational database experience.
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Strong software engineering fundamentals, including testing, CI/CD, monitoring, and production reliability.
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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! … more