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资深软件工程师 - DSM

Staff Software Engineer - DSM

开发工程限定地区(需当地身份)日间重叠约 2 小时,需偶尔早起或晚睡
公司Cint
薪资未公开
工作地点Spain
地域资格限定地区(需当地身份)
时区要求日间重叠约 2 小时,需偶尔早起或晚睡
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 Spain 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:日间重叠约 2 小时,需偶尔早起或晚睡。

Cint Technology团队正在寻找一名资深软件工程师加入我们的国际数据解决方案与度量团队。
这个职位适合希望提升标准的软件工程师。我们的业务在过去几年中翻了一番,因此我们的系统需要进行扩展以适应这种增长。

你将负责的工作:

我们理想的候选人会将20%的时间用于影响初级/中级工程师,80%的时间专注于复杂问题。该候选人认为自己属于技术能力很强的人群,每天都会努力拓展自己的知识和经验边界。
在这个职位上,你将负责设计、实现、扩展和维护支撑我们生产系统的代码。你将独立工作,确保按时交付高质量的成果。
你将与三个团队(结果、方法论与招聘)以及产品和数据科学等相关领域密切沟通与合作。
在拥有高度自主权和创新自由的情况下,你将在打造下一代Cint产品的世界级研究中发挥关键作用。

资深工程师在DSM团队的日常工作:

  • 设计、实现、扩展和维护处理大量数据的后端系统。
  • 从事事件驱动和基于API的集成工作。
  • 参与向更领域化和可扩展架构的迁移工作。
  • 构建并优化性能敏感的工作流程软件。
  • 调查技术问题并与团队共同提出解决方案。
  • 与数据科学和工程同事紧密合作,解决技术问题。
  • 参与协作开发模式,工作内容共享而非单独处理。

任职要求

  • 10年以上后端软件工程经验,具备扎实的技术深度。
  • 我们对技术没有偏好,因此你可以将主语言(Python、Scala、C/C++、Haskell、Elixir、Go、Ruby等)切换为Java(我们的核心语言)。
  • 熟悉算法(哈希表、映射等)、数据结构(异常检测、动态路由等)、大O符号、架构(事件驱动架构)。
  • 熟悉大数据处理工具和技术,如Spark、Apache生态系统工具、Delta Lake、Parquet、Kafka和Avro。
  • 具备Python和/或PySpark的经验。
  • 具备构建或维护复杂、实时、高流量系统的经验,具有高吞吐量和低延迟特性。
  • 具备Docker、SQL和NoSQL数据库的经验。
查看英文原文

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.
Day-Day of a Staff Engineer in the DSM Team:

  • 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 a more domain-based and scalable architecture.
  • Build and optimize software for performance-sensitive workflows.
  • Investigate technical problems and propose solutions together with the team.
  • Collaborate closely with data science and engineering colleagues on technical solutions.
  • Participate in a collaborative development model where work is shared rather than handled alone.

Qualifications

  • 10+ years of backend software engineering experience, with strong technical depth.
  • We’re technology agnostic, so, you're more than welcome to switch your main language (Python, Scala, C/C++, Haskell, Elixir, Go, Ruby, etc...) to Java (our core language)
  • Solid understanding of algorithms (HashTables, Maps, etc.), data structures (Anomaly Detection, Dynamic Routing, etc.), Big O notation, Architecture (event-drive-architecture).
  • Familiarity with heavy data processing tools and technologies such as Spark, Apache ecosystem tools, Delta Lake, Parquet, Kafka, and Avro.
  • Experience with Python and/or PySpark
  • Experience building or maintaining complex, real-time, high-volume systems with high-throughput and low-latency
  • Experience with Docker, SQL, and NoSQL databases.
  • Experience with REST APIs and event-driven integrations.
  • Comfortable working in performance-oriented, production-critical environments with high-throughput & low talency systems

Soft Skills:

  • 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 a related field is preferred
Nice to Have

  • Experience with AWS, GCP or other cloud providers
  • Experience with Pandas.
  • Experience with Spring framework and microservices.
  • Experience working in large-scale data or analytics environments.

Our Values
Collaboration is our superpower

  • We uncover rich perspectives across the world
  • Success happens together
  • We deliver across borders.

Innovation is in our blood

  • We’re pioneers in our industry
  • Our curiosity is insatiable
  • We bring the best ideas to life.

We do what we say

  • We’re accountable for our work and actions
  • Excellence comes as standard
  • We’re open, honest and kind, always.

We are caring

  • We learn from each other’s experiences
  • Stop and listen; every opinion matters
  • We embrace diversity, equity and inclusion.

More About Cint

We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth.
In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries.
Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. (www.cint.com)
Additionally, in a world of AI, we want our candidates to understand our approach to the use of AI during the interview and hiring process, so we'd appreciate you reading our AI usage guide.
Cint is a global software leader in technology-enabled digital insights and research technology. The Cint platform automates the insights-gathering process so that companies can gain access to insights faster with unparalleled scale. Cint has one of the world’s largest consumer networks for digital survey-based research, made up of over 239 million engaged respondents across more than 130 countries. Over 4,600 insights-driven companies use Cint to accelerate how they gather consumer insights and supercharge business growth.
Originally posted on Himalayas

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