MV Data Engineer

Summary

Join Adaptiq, a technology hub supporting R&D teams, as a Data Engineer to build the next generation of our data platform. You will play a hands-on role in redesigning our data pipeline architecture, working with a modern tech stack and solving complex challenges. Collaborate with data scientists, backend engineers, and analysts to deliver scalable, real-time solutions for global enterprise clients. This high-impact opportunity requires expertise in building and maintaining production-grade data pipelines and modern data tools. If you are passionate about clean architecture and eager to learn new technologies, this role is for you.

Requirements

• 4+ years of experience building and maintaining production-grade data pipelines
• Hands-on experience modern data tools such as Kafka, Airflow, Spark, or Flink
• Deep understanding of SQL and NoSQL ecosystems such as PostgreSQL, Redis, and Elasticsearch or Delta Lake
• Solid backend development experience with strong understanding of OOP/OOD principles and design patterns (Python)
• Demonstrated experience designing and implementing new data architectures, especially in fast-paced or transitioning environments
• Strong understanding of ETL/ELT processes and data flow logic

Responsibilities

• Drive the design and architecture of scalable, efficient, and resilient batch and streaming data pipelines
• Shape the implementation of modern, distributed systems to support high-throughput data processing and real-time analytics
• Collaborate cross-functionally with data scientists, engineers, and product stakeholders to deliver end-to-end data-driven capabilities
• Optimize legacy systems during the migration phase, ensuring a seamless transition with minimal disruption
• Contribute to DevOps and MLOps processes and enhance the reliability, monitoring, and automation of data infrastructure
• Support the integration and deployment of AI/ML models within the evolving data platform

Preferred Qualifications

• Exposure to MLOps and integrating ML models into production
• Experience in DevOps and asynchronous systems
• Familiarity with RabbitMQ, Docker, WebSockets, and Linux environments
• Familiarity with routing or navigation algorithms

Benefits

• 20 days of vacation leave per calendar year (plus official national holidays of the country you are based in)
• Full accounting and legal support in all countries we operate
• A fully remote work model with a powerful workstation and co-working space in case you need it
• A highly competitive package with yearly performance and compensation reviews