Front Office Data & Analytics Engineer - Crude & Products at Trafigura
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

30 Oct, 25

Salary

0.0

Posted On

30 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Automation, Components, Java, Analytics, Software Solutions

Industry

Computer Software/Engineering

Description

Main Purpose:
We are recruiting for a software engineer to work directly with the traders and research analysts in our trading teams. This is a great opportunity to work in a fast-paced commercial setting, playing a vital role in a real time, data and software driven trading environment.
Whilst working directly with the trading teams who are based in various global sites such as Geneva, Houston and Singapore, the engineer will be part of the global data science and engineering team who are responsible for the ingestion and management of market and fundamental data, sophisticated modelling techniques, data & analytics applications and solutions.
The software engineer will be technically leading and building applications and software using cutting edge cloud and software technology stacks, building end to end software platforms and stacks in a modern and innovation fuelled business.

Knowledge Skills and Abilities, Key Responsibilities:

  • Engineer software such as components, frameworks and micro-services
  • Build core infrastructure and common services for use across DnA applications, such as common services and frameworks.
  • Build cloud native big data platforms and analytics solutions
  • Build and maintain time critical data integration pipelines (ETL/ELT)
  • Implement a strong SDLC and agile principles to software delivery
  • Apply domain driven design
  • Problem solving and applying software solutions and automation to complex business issues and processes

Abilities, Experience and Qualifications:

  • 5+ years of Python and/or Java based language
Responsibilities
  • Engineer software such as components, frameworks and micro-services
  • Build core infrastructure and common services for use across DnA applications, such as common services and frameworks.
  • Build cloud native big data platforms and analytics solutions
  • Build and maintain time critical data integration pipelines (ETL/ELT)
  • Implement a strong SDLC and agile principles to software delivery
  • Apply domain driven design
  • Problem solving and applying software solutions and automation to complex business issues and processe
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