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Senior Big Data Engineer

Globaldev Group is a technology company specializing in AdTech and machine learning solutions.
Data
Senior Software Engineer
Hybrid
51 - 100 Employees
5+ years of experience
AI · Enterprise SaaS

Job Description

Globaldev Group is seeking a Senior Big Data Engineer to join their Dream Team in a hybrid role based in Warsaw, Poland. This position focuses on building and maintaining next-generation distributed training pipelines and infrastructure for ML systems. The ideal candidate will be responsible for designing scalable ML systems from data ingestion to model training and evaluation, working with billions of data points in real-time AdTech environments. The role requires strong technical expertise in Python, distributed systems, and ML infrastructure, with 5+ years of experience. The position offers a comprehensive benefits package including vacation time, software resources, and competitive compensation. This is a high-impact opportunity to shape how models are trained and deployed at scale while working with cross-functional teams to drive innovation and performance improvements throughout the ML lifecycle.

Last updated a month ago

Responsibilities For Senior Big Data Engineer

  • Design and implement large-scale, distributed ML training pipelines
  • Build scalable infrastructure for data preprocessing, feature engineering, and model evaluation
  • Lead the technical design and development of new ML systems: from architecture to production
  • Collaborate cross-functionally with DS, infra teams, Product, BA and Engineering teams
  • Own the full lifecycle of ML infra: tooling, versioning, monitoring, automation
  • Continuously research and adopt best-in-class practices in MLOps

Requirements For Senior Big Data Engineer

Python
Kubernetes
  • B.Sc. or M.Sc. in Computer Science, Software Engineering, or other equivalents fields
  • 5+ years of hands-on experience in backend or ML engineering
  • Strong Python skills and experience with distributed systems and parallel data processing frameworks
  • Proven track record in designing and scaling ML infrastructure
  • Deep understanding of ML workflows and lifecycle management
  • Experience in cloud environments and containerized deployment
  • Understanding databases and SQL for data retrieval
  • Strong communication skills
  • Experience with monitoring and alerting tools
  • Experience working with in-memory and NoSQL databases

Benefits For Senior Big Data Engineer

  • 20 days of vacation
  • Purchase of necessary software
  • Exchange of experience with talented colleagues
  • Valuable compensation
  • HR team support

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