Were looking for an experienced Data Engineer to join our DEX Platform and help drive the next stage of our growth. In this role, youll design, build, and scale data infrastructure and advanced processing pipelines that power real-time insights and intelligent automation across our platform.
As a senior data engineer, youll own the full service lifecycle-from architecture and development to deployment, monitoring, and scaling-while ensuring data quality, reliability, and compliance. Youll work closely with backend, AI, and data teams to deliver robust, production-ready systems that support our AI-first strategy and our mission to make the workplace run itself.
As a senior data engineer, youll own the full service lifecycle-from architecture and development to deployment, monitoring, and scaling-while ensuring data quality, reliability, and compliance. Youll work closely with backend, AI, and data teams to deliver robust, production-ready systems that support our AI-first strategy and our 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
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
Experience in Node.js (NestJS/Express) – a big advantage
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
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
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
Experience in Node.js (NestJS/Express) – a big advantage
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
This position is open to all candidates.
