Apply on company website Remote, United Kingdom Remote (Country) Full-time

Cint is hiring a Staff Software Engineer - Data Solutions & Measurement

The Cint Technology team is looking for a Staff Software Engineer to join our international Data Solutions & Measurement team. This position is for a software engineer who wants to raise the bar. Our business has been doubling in the last few years and so our systems need to scale to accommodate this growth. What You Will Do Our ideal candidate will have 20% of the time influencing junior/mid-level engineers and 80% focused on complex problems. This candidate considers themselves among the highly technical and likes to push the limits of their knowledge and experience every day. In this role, you will work on designing, implementing, scaling, and maintaining the code that powers our production systems. You will work with no supervision, ensuring timely and high-quality delivery. You will communicate and work closely across 3 teams (Outcomes, Methodology & Recruitment) and with related areas like product and data science. With great autonomy and freedom to innovate, you will play a key role in world-class research building the next generation of Cint products.
Job Details
Location Remote, United Kingdom
Work mode Remote (Country)
Employment Full-time
Department Data Solutions & Measurement
Posted 2 months ago
Application On company website
About company
Cint

Discover the power of Cint Exchange, the largest online marketplace. Join Cint to revolutionize your market research experience.

Cint provides a global research marketplace that connects businesses with survey participants, enabling high-quality data collection and insights at scale. The platform supports researchers, brands, product managers, panel managers, academics, media agencies, and ad-tech platforms with tools for sourcing respondents, campaign measurement, and community management.

With a focus on data quality and global reach, Cint offers solutions across industries to accelerate insights and improve decision-making through trusted, consented audience data.

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