Data Engineer

Industry: Finance
Company size: 51-250

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Job description

A modern B2B company active in the financial services space is looking to hire a Data Engineer. The selected candidate will join the team with strong programming abilities and assist in building out the quantitative research platform. The U.S.-based company is committed to delivering all the services of a traditional investment bank by leveraging data and data science. This will be an excellent opportunity to deliver high-quality software solutions in a fast-paced environment.


Job Responsibilities:

  • Design and develop a Cloud-native high-performance quantitative research platform
  • Build scalable systems for distributed model fitting and signal generation on the research platform
  • Develop pipelines and tools for ingesting new datasets onto the research platform
  • Create, monitor, and maintain production data pipelines required for daily trading activity
  • Develop data quality metrics and reporting to ensure mission-critical datasets are consistent and reliable
  • Design and implement metadata tools such as data catalogs, feature stores, and signal catalogs
  • Work closely with quantitative researchers to design and support advanced research capabilities
  • Collaborate with data engineering teams to share knowledge and best practices across the firm

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a data engineer
  • Excellent problem-solving skills with the ability to work on longer-term ambiguous projects
  • A minimum of 3+ years of professional Python programming experience
  • Prior experience with the Python scientific computing stack (NumPy, pandas, etc.).
  • Demonstrable experience with distributed systems, especially distributed computing systems
  • Excellent written and verbal communication skills for coordinating across teams
  • Nice to have experience in AWS and Dask
  • Experience in Prefect and Finance
  • Fluent in verbal and written English

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