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Quant Capital

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Data Engineer – Fintech50

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Overview

In this role you will help scale a new international data platform for a leading fintech payments company. You will bridge technical data work with business teams, shaping how client and market data are used to drive decisions and growth. You’ll manage the data cube and collaborate with leadership to turn data into usable insights and business value. The environment blends startup pace with cutting-edge finance tech, offering a high-impact path in data-enabled strategy.

Pay / Benefits
  • training and development package
  • casual office culture
  • central location near Hammersmith
Responsibilities
  • Manage and optimize the data cube and data warehouse being built by an external partner (PostGreSQL).
  • Collaborate with internal business teams to present and leverage data.
  • Conduct data display tasks and gather business requirements to inform data solutions.
  • Work with leadership to shape how the business uses data from clients and the market.
  • Drive data-driven insights for client benefits and internal marketing initiatives.
Key requirements
  • Proven experience in a Data Analysis or Engineering role (2+ years).
  • PostGre SQL experience.
  • Computer Science or similar degree.
  • Ideally experience with Mondrian or MDX (Psyks).
  • Exposure to OO programming or scripting.
  • Linux familiarity.
  • Understanding of data warehouse/data cube concepts.
  • Driven and proactive
  • Strong collaboration with cross-functional teams
  • Effective communicator with leadership
  • PostGre SQL
  • Data warehouse / data cube design and usage
  • Mondrian or MDX (Psyks)

Skills

See also

Data Engineering jobs by country — openings, pay and top skills →

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