Front Office Data & Analytics Engineer - Crude & Products
London - Traf Office
Main Purpose:
We are recruiting for a software engineer to work directly with the traders and research analysts in our trading teams. This is an exciting 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:
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
SQL
Experience with relational databases
Object oriented design
Distributed systems, orchestration and micro-services
AWS experience (E.g. S3, Redshift, Glue, Lambda)
Bachelor’s degree or equivalent experience in computer science or related subject
Any experience with object databases/NoSQL is a plus
AWS certifications are a plus
Prior front office experience in Commodities, Fixed Income, Equities, Asset Management would be a plus
Competencies:
Outstanding communication and ability to interact with a diverse set of stakeholders across business lines and technology
Understanding and experience implementing software engineering best practices
Ability to tackle problems under pressure
Ability to effectively prioritise tasks of high importance
Key Relationships and Department Overview:
The Data Science and Engineering team researches, develops, and provides sophisticated analytics and data services and applications to the trading business, and other commercial operations at Trafigura.
Trafigura’s Crude & Products teams handle both physical and derivative portfolios. The team heavily relies on data, analysis and process automation. They are looking to work with someone who can develop an understanding of their business and ultimately take ownership for a variety of technical applications and processes on the desk
Equal Opportunity Employer
We are an Equal Opportunity Employer and take pride in a diverse workforce! We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, colour, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or handicap, disability, or any other legally protected status.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Big Data Computer Science Distributed Systems ELT Engineering ETL Java Lambda NoSQL Pipelines Python RDBMS Redshift Research SDLC SQL
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