Senior Data Engineer (Java)

Who We Are:
Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.  

About the Product: 
Our platform provides organizations with real-time visibility and control over their digital environments, enabling IT teams to detect, diagnose, and resolve issues before they impact employees. It integrates multiple products into a single, unified experience—leveraging AI-driven automation, intelligent data processing, and scalable architecture to enhance productivity across global workplaces. The DEX Platform team builds the core infrastructure that powers these capabilities, delivering high-performance backend services and advanced data pipelines at scale.

About the Role: 
We are looking for an experienced Senior Data Engineer to join our advanced employee experience monitoring and optimization platform and take a leading role in building the next generation of our data infrastructure. This role involves designing and implementing large-scale, real-time data pipelines and backend services that support both operational workflows and AI-driven insights.

You will work end-to-end—covering architecture, development, deployment, and ongoing production monitoring—while collaborating closely with backend, AI, and data specialists to ensure high performance, scalability, and reliability.

Key Responsibilities: 

• Design, develop, and maintain robust backend services and data processing pipelines for large-scale, real-time environments.
• Build and optimize streaming solutions using technologies like Kafka, Flink, and other stream-processing frameworks.
• Own the full lifecycle of services: architecture, implementation, deployment, monitoring, and scaling.
• Collaborate with cross-functional teams, including backend engineers, AI developers, and data analysts, to deliver production-ready solutions.
• Ensure compliance, security, and observability for all data-related systems.
• Work with cloud infrastructure to design and deploy scalable solutions.

• Troubleshoot and resolve production issues with a focus on high availability and system resilience.

   

Required Competence and Skills:

• 5+ years of backend/data engineering experience.
• Strong experience with Java (Vert.x or Spring) 
• Solid understanding of microservices architecture and cloud platforms (Azure, AWS, or GCP).
• Hands-on experience with Kafka and streaming frameworks such as Kafka Streams, Flink, Spark, or Beam.
• Strong foundation in object-oriented design, design patterns, and clean code principles.
• Experience in production-aware environments, including monitoring, troubleshooting, and optimization.
• Comfortable designing, deploying, and maintaining backend services and data flows.
• Passion for continuous learning, experimenting with new technologies, and building reliable systems at scale.
• Strong product mind-set, open-mindedness and flexibility to work with different technologies as per company needs
• Excellent communication skills in English (Hebrew a plus).
• Team player with a positive attitude and a passion for delivering high-quality products.

Nice to have:

• Experience with Node.js (NestJS/Express).
• Familiarity with AI-first development tools (e.g., GitHub Copilot, Cursor).
• Knowledge of Postgres, Redis, or ClickHouse.