Staff Software Engineer – DSM

🕒 July 15

🇪🇸 Spain – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 11%

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Logo of Cint

Cint

1001 - 5000 employees

Founded 2004

💼 Consulting

📣 Marketing

💰 Venture Round on 2016-01

Consulting • Marketing • Market Research

Cint is a leading global technology platform that provides a comprehensive marketplace for market research. The company operates the world's largest programmatic research marketplace, known as the Cint Exchange, which connects surveys with millions of respondents across 130 countries. Cint offers services such as media measurement and audience monetization, leveraging powerful technology to provide insights-driven companies with actionable data. With a focus on quality and trust, Cint uses advanced AI and machine learning tools to ensure the integrity and accuracy of the data collected. It serves a wide range of industries by offering tools for measuring the impact of advertising, conducting brand lift studies, and optimizing marketing strategies in real time. Cint is trusted by thousands of companies for its innovative approach to connecting businesses with the right survey participants efficiently and effectively.

📋 Description

• Design, implement, scale, and maintain backend systems that process large volumes of data • Work on event-driven and API-based integrations • Contribute to migration efforts toward scalable architecture • Build and optimize software for performance-sensitive workflows • Investigate technical problems and propose solutions • Collaborate with data science and engineering colleagues on technical solutions • Participate in a collaborative development model

🎯 Requirements

• 10+ years of backend software engineering experience • Strong technical depth • Technology agnostic - willingness to adapt programming languages (main language is Java) • Solid understanding of algorithms, data structures, and architecture • Familiarity with heavy data processing tools and technologies • Experience with Python and/or PySpark • Experience building or maintaining complex, real-time, high-volume systems • Experience with Docker, SQL, and NoSQL databases • Experience with REST APIs and event-driven integrations • Strong problem-solving skills and a proactive, collaborative working style • Ability to communicate well with engineers and data science partners • Academic Background: Computer science, computer engineering or related field is preferred

🏖️ Benefits

• Collaboration is our superpower • Success happens together • Innovation is in our blood • Our curiosity is insatiable • We do what we say • Excellence comes as standard • We are caring

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