Staff Software Engineer — Scalable Data Systems

Cint; España; Presencial; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

Cint is seeking a Staff Software Engineer to join the international Data Solutions & Measurement team. You will design, implement, scale, and maintain backend systems powering our production research services, collaborating with outcomes, methodology, recruitment, product, and data science teams.

The role balances mentoring junior engineers with solving complex, high-impact problems. You will work in a high-throughput, production environment, focusing on performance-sensitive workflows and

Formación

• 10+ years of backend software engineering experience.
• Strong expertise in Java; proficient with additional languages listed.
• Deep understanding of algorithms and data structures.
• Experience with heavy data processing tools (Spark, Kafka, Delta Lake).
• Experience with Python/PySpark and real-time systems.
• Experience with Docker, SQL/NoSQL, REST APIs, and event-driven integrations.
• Strong collaborative and communication skills.

Responsabilidades

• Design, implement, scale, and maintain large-volume data processing systems.
• Develop event-driven and API-based integrations.
• Contribute to domain-based, scalable architecture migration.
• Build software for performance-sensitive workflows.
• Collaborate with data science and engineering teams.

Conocimientos

Backend engineering

Java

Python

Data processing

Event-driven

Docker

REST APIs

SQL/NoSQL

Spark

Kafka

Delta Lake

Parquet

PySpark

Educación

Computer science degree

Herramientas

Apache ecosystem

Spring framework

Microservices

Descripción del empleo

Cint is seeking a Staff Software Engineer to join the international Data Solutions & Measurement team. You will design, implement, scale, and maintain backend systems powering our production research services, collaborating with outcomes, methodology, recruitment, product, and data science teams.

The role balances mentoring junior engineers with solving complex, high-impact problems. You will work in a high-throughput, production environment, focusing on performance-sensitive workflows and