As part of the GIIN’s mission to accelerate the scale and effectiveness of impact investing, we publish job openings from GIIN members and other impact investing leaders.

Sustainable Finance Data Engineer

at Morgan Stanley in New York, US

About the Job

The Data Engineer will be responsible for:

  • Working with GSF data team and various internal partners to maintain the existing infrastructure for ingesting, fusing, and distributing sustainability data.
  • Working alongside cross-functional/firm-wide business and technology teams to design and implement solutions to further the integration of sustainability considerations into investment processes across various asset classes.
  • Collaborating with the data infrastructure team to build tools and processes to rapidly ingest additional sustainability content and ESG data feeds.
  • Ensuring a high standard of data quality and availability with focus on automated testing/regression, monitoring workflows and adjusting processes as needed.
  • Overseeing different data related projects across all phases of development, requirements analysis, application design and implementation.
  • Analyzing and planning implementation of data governance requirements across data sets and entities.



  • Bachelors or Masters in Computer Science, Software Engineering, or a similar field, with strong exposure to data infrastructures.
  • Experience with data engineering, building, deploying and maintaining large, complex data services and pipelines on distributed systems.
  • Fluency in Python and SQL, experience with workflow scheduling tools.
  • Experience maintaining and curating meta-data libraries and Git code repositories and supporting notebook-based data science workflow.

Exposure to one or more of the following areas is a plus:

  • Experience implementing machine learning algorithms of prediction and classification.
  • Experience with geospatial data integration, management and processing.
  • Experience in implementing data visualizations in Tableau, Dash or Power BI.
  • Working knowledge of Scala, Java, and/or kdb/Q.

To apply