Hybrid Senior Data Engineer

Posted last month

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About the role

  • Design, build, and scale data infrastructure and advanced processing pipelines that power real-time insights and intelligent automation across the platform
  • Own the full service lifecycle—from architecture and development to deployment, monitoring, and scaling
  • Ensure data quality, reliability, and compliance for production systems
  • Collaborate closely with backend, AI, and data teams to deliver robust, production-ready systems
  • Support the company's AI-first strategy and mission to make the workplace run itself

Requirements

  • 5+ years of backend/data engineering experience
  • Proficiency with Java (Vert.x, Spring or similar) - a must
  • Hands-on experience with Kafka and streaming frameworks like Kafka Streams, Flink, Spark, or Beam - a must
  • Experience in Node.js (NestJS/Express) - a big advantage
  • Solid understanding of microservices architecture and cloud platforms (Azure/AWS/GCP)
  • Familiarity with AI-first development tools (GitHub Copilot, Cursor) – an advantage
  • Experience working in production-aware, observability-driven environments - monitoring troubleshooting, and optimizing
  • Knowledge of Postgres, Redis, MySQL or similar, Clickhouse
  • Strong foundation in object-oriented design, design patterns, and clean code practices
  • Comfortable designing, deploying, and maintaining backend services and data flows
  • Passion for learning, experimenting with new tech, and building reliable systems at scale

Job title

Senior Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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