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Data Engineering Specialist

2 months ago

London, Greater London, United Kingdom WeAreTechWomen Full time

At Goldman Sachs, we're committed to helping our clients, shareholders, and communities grow. As a Data Engineering Specialist, you'll join our team in building scalable software and systems that leverage machine learning and financial engineering to turn data into action. You'll partner with our sustainability data team to source, curate, and apply innovative data, providing our clients and businesses with the most accurate and decision-useful data available.


The Data Engineering group is at the core of our data offering, focusing on providing the platform, processes, and governance for enabling the availability of clean, organized, and impactful data. You'll work on designing and developing modern data management tools to curate our most important data sets, models, and processes.


As a Data Engineering Specialist, you'll be responsible for helping improve the quality of data offerings, the breadth of data our businesses deploy, and partnering to scale the trust we can build in decision-making and disclosures. You'll engage with our sustainability data consumers and producers to grow the business and establish trusted partnerships with key contacts and users across business and engineering teams.


We're looking for a creative collaborator who can evolve, adapt to change, and thrive in a fast-paced global environment. If you have a deep interest in sustainability risk, experience with corporate disclosures, and geo-spatial data, we want to hear from you. Apply your expertise in data dashboards, visualization, notebooks, data warehousing concepts, and Agile operating models to drive quantifiable commercial impact.



  • Design and develop modern data management tools to curate our most important data sets, models, and processes.
  • Engage with our sustainability data consumers and producers to grow the business.
  • Establish trusted partnerships with key contacts and users across business and engineering teams.

Our ideal candidate has a Bachelor or Master degree in a computational field, 2-7+ years of experience using Python, R, SQL, or other programming languages for practical data wrangling, and expertise in data dashboards, visualization, notebooks, data warehousing concepts, and Agile operating models. Preferred qualifications include sustainability data industry experience, geospatial data experience, climate models, and natural language processing.