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Cint
Cint
1,001 – 5,000 Employees
ConsultingMarket ResearchMarketing
Cint is a global market research technology company operating the Cint Exchange, a programmatic research marketplace that connects surveys with respondents across 130 countries. Its platform supports media measurement, audience monetization, brand lift studies, advertising impact analysis, and real-time marketing optimization. Cint combines survey technology with AI and machine learning tools designed to help protect data quality and integrity, serving organizations across consulting, marketing, and market research.
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Staff Software Engineer, DSM Team — Spain Remote

Join Cint’s DSM team to scale the ResTech platform that transforms survey responses into business and advertising insights. Design high-volume backend systems and data integrations for a distributed, data-intensive environment.

ESSpainRemoteFull-timeLeadEnglish RequiredFull-stack EngineerSoftware Engineer
ApacheAWSCloudDockerGoogle Cloud PlatformJavaKafkaMicroservicesNoSQLPandasPySparkPythonSparkSpringSQL

Description

  • Design, implement, scale, and maintain backend systems that process large data volumes
  • Develop event-driven and API-based integrations
  • Support migration toward a more domain-oriented, scalable architecture
  • Build and optimize software for performance-sensitive workflows
  • Analyze technical issues and develop solutions collaboratively
  • Partner with data science and engineering teams on technical solutions
  • Work independently while delivering high-quality work on schedule
  • Mentor and influence junior and mid-level engineers for approximately 20% of the role
  • Collaborate across the Outcomes, Methodology, and Recruitment teams and related product and data science functions
  • Contribute to the next generation of Cint products and support high-quality research

Requirements

  • At least 10 years of backend software engineering experience
  • Deep technical expertise
  • Professional experience with Java, or willingness to transition from another primary language
  • Strong knowledge of algorithms, data structures, Big O notation, and event-driven architecture
  • Familiarity with Spark, Apache ecosystem tools, Delta Lake, Parquet, and Kafka
  • Experience using Python and/or PySpark
  • Background building or maintaining complex, real-time, high-volume systems with high throughput and low latency
  • Experience with Docker, SQL, and NoSQL databases
  • Experience developing REST APIs and event-driven integrations
  • Comfort working in performance-focused, production-critical environments
  • Proven problem-solving ability and a proactive, collaborative approach
  • Effective communication skills with engineering and data science colleagues
  • Academic background in computer science, computer engineering, or a related discipline preferred
  • Experience with AWS, GCP, or another cloud provider is desirable
  • Experience with Pandas is desirable
  • Experience with Spring Framework and microservices is desirable
  • Background working in large-scale data or analytics environments is desirable

Benefits

  • Remote work arrangement
  • Autonomy to innovate and make decisions
  • Collaborative approach to software development
  • Culture focused on employee growth and development
  • Commitment to diversity, equity, and inclusion

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