Digital - Content - Automation Engineer at FactSet Research Systems

Paris, FRA


  • Ingest and analyze various data sources to drive innovation in content creation.
  • Automate the acquisition, relevance scoring and storage of incoming sources.
  • Develop processes for data mining, data concordance and data production.
  • Explore and evaluate new data technologies to build a scalable, cloud oriented data platform.
  • Optimize data retrieval, develop dashboards and other visualizations for financial experts.

Required Skills:

  • Bachelor or Master Degree in Computer Science, Math, or Engineering
  • 1 to 3+ years of working experience in software development
  • 1 to 3+ years of relevant experience in Data Science or Machine Learning
  • 1 to 3+ years of experience in building data ingestion and ETL pipelines/supporting a large data platform and data pipelining
  • Strong experience and proficiency with Python, Pandas, Numpy and AWS APIs
  • Organized, self-directed, and resourceful with the ability to appropriately prioritize work in a fast-paced environment
  • Able to work in a team of data scientists as well as in projection in other teams for the duration of the projects

Desirable Requirements:

If possible, but not essential, some experience in one or more of those areas:
  • Experience with modern data platforms such as Spark, Hadoop or other map/reduce big data systems and services
  • Experience with a variety of data stores such as ArangoDB, MongoDB, Cassandra, HBase, DynamoDB
  • Experience with AWS environment

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