DATA ENGINEER - FLUENT IN CHINESE

Linkfluence is hiring!

About

Linkfluence first started as a passion project between four students with an ambitious goal: to understand and “map” the social web. With backgrounds in engineering, artificial intelligence, and sociology, these founders soon realized the potential of this idea and launched a company in 2006 to fulfill this potential.

Today, Linkfluence is a leading social media intelligence company that turns social data into valuable insights for global brands. Our hybrid combination of AI and human expertise is what sets us apart from other social listening players in the industry.
We serve over 500 clients worldwide across all industries, from global brands like LVMH, Danone, Carrefour, AirFrance, Pernod Ricard, and agencies like Publicis and Havas.

Our team is young, diverse, and ambitious, and we’re growing rapidly. We have 220 people of over 20 different nationalities spread across our offices in Paris, London, San Francisco, New York, Düsseldorf, Shanghai, and Singapore. We are a multicultural organization, and are committed to a gender-balanced workforce.

If you’re passionate about staying on top of online trends, if your ambition is to help companies serve their customers, if you’re curious about what’s happening in the world and love to listen to others, and if you’re thrilled to be a part of shaping the future of social media intelligence, then we want to hear from you!

Job Description

Linkfluence is looking for a talented and inventive Data Engineer to join our Data Acquisition team. You will implement, optimize and deploy a range of data connectors for analyzing social data with a strong focus on Chinese’s platforms like Wechat, Weibo, etc.
You'll work alongside a small team of passionate developers in a tech-centric and design-centric environment to develop new features and improve the user experience in Radarly:

  • Develop new social media connectors.
  • Solve business requirements into practical software solutions and meet stated objectives
  • Make use of existing architecture to develop new features
  • Be part of the innovation process by suggesting new ideas in a strong R&D environment

Preferred Experience

  • A solid background in Computer Science (data structures, algorithms, software design)
  • Fluent in chinese and at least in French or in English
  • Experience with functional programming (Scala, Clojure, etc.) is a plus
  • Experience with Big Data technologies such as Elasticsearch, HBase, Spark, Kafka, is a plus
  • Comfort with version control such as Git
  • Practical knowledge of shell scripting and at least one scripting language (Python, Ruby, Perl)

Why should you join the team and take on the mission?
As a social media intelligence company, social media and technology are our future. We’re committed to innovation and work hard to stay ahead of digital and social trends.

We’re passionate about giving a voice to consumers by helping brands to understand online conversations and exchanges, and by providing the human expertise necessary to respond to these exchanges. We believe helping businesses around the world to better understand each other can only lead to good outcomes.

As a growing company, we combine a startup mindset with the resources necessary to commit to exciting new initiatives. We have a proven track record of success and funding and work with global brands with significant influence and market presence.
At Linkfluence, everyone has an opportunity to make a difference. We believe in hiring motivated individuals with passion and talent, and we listen to our employees when making company-wide decisions.

Our Paris office is situated in the heart of Paris, 9th arrondissement (South Pigalle), which means we’re well-connected with 4 different metro lines and surrounded by fantastic restaurants and bars!

If you’ve read this far, you should probably apply!

We’re already looking forward to knowing more about you!

Additional Information

  • Contract Type: Internship
  • Location: Paris, France (75009)
  • Education Level: Master's Degree