Staff Software Engineer - DSM

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 a global software leader in technology‑enabled digital insights and research technology, and the Cint platform automates the insights‑gathering process so that companies can gain access to insights faster with unparalleled scale.

Job Description

The Cint Technology team is looking for a Staff Software Engineer to join our international Data Solutions & Measurement team. The role focuses on designing, implementing, scaling, and maintaining the backend systems that power our production research services. You will work with no supervision, ensuring timely and high‑quality delivery, and collaborate closely with the Outcomes, Methodology, and Recruitment teams, as well as product and data science.

What You Will Do

You'll spend roughly 20% of your time influencing junior and mid‑level engineers while focusing 80% on complex problems. Your responsibilities include:

• Design, implement, scale, and maintain large‑volume data processing systems.
• Develop event‑driven and API‑based integrations.
• Contribute to migration toward a domain‑based, scalable architecture.
• Build software optimized for performance‑sensitive workflows.
• Investigate technical problems and propose solutions collaboratively.
• Collaborate closely with data science and engineering peers.
• Participate in a collaborative development model where work is shared.

Qualifications

• 10+ years of backend software engineering experience with deep technical expertise.
• Experience with Java; familiarity with multiple languages (Python, Scala, C/C++, Haskell, Elixir, Go, Ruby, etc.) is welcomed.
• Solid understanding of algorithms, data structures, Big O notation, and event‑driven architecture.
• Familiarity with heavy data processing tools (Spark, Apache ecosystem, Delta Lake, Parquet, Kafka, Avro).
• Experience with Python/PySpark and building high‑volume, low‑latency real‑time systems.
• Experience with Docker, SQL/NoSQL databases, REST APIs, and event‑driven integrations.
• Comfortable in high‑throughput, performance‑oriented production environments.
• Strong problem‑solving skills and a proactive, collaborative working style.
• Excellent communication with engineers and data science partners.
• Computer science, computer engineering, or a related field is preferred.

Nice to Have

• Cloud experience (AWS, GCP, or other providers).
• Pandas experience.
• Spring framework and microservices experience.
• Experience working in large‑scale data or analytics environments.

Company Values

• Collaboration, innovation, accountability, caring, and diversity, equity, and inclusion.