Power Trading Data Engineer

Posted:
7/15/2024, 5:07:27 PM

Location(s):
Capital Region of Denmark, Denmark ⋅ Copenhagen, Capital Region of Denmark, Denmark

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
Data & Analytics

Main Purpose:

We are recruiting an experienced Data Engineer to work directly with the traders and research analysts in our European Power Trading teams. This is an exciting opportunity to work in a fast-paced commercial setting, playing a critical role in a real time, data driven trading environment. Whilst being physically co-located with the trading teams, 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, as well as providing cloud-based infrastructure for the use of research analysts, traders and data scientists.

Knowledge Skills and Abilities, Key Responsibilities:

Key Responsibilities

  • Build and maintain time critical data integration pipelines (ETL/ELT)
  • Design appropriate data models for a variety of internal and external datasets
  • Contribute to the automation of processes on the trading desk
  • Develop a deep understanding of technical projects on the desk in order to better serve commercial needs

Abilities, Experience and Qualifications:

  • 5+ years of experience with Python and SQL
  • AWS data stack (E.g. S3, Redshift, Glue, Lambda)
  • Master's degree or equivalent experience in computer science or a related subject.
  • AWS certifications are a plus
  • Experience with enterprise scale data systems
  • Experience building and maintaining enterprise-scale data systems.
  • Experience building data integration pipelines.
  • Strong data modelling skills.
  • Experience in OLAP and OLTP systems.
  • Software development experience is highly desirable.
  • Experience in a trading environment is highly desirable.
  • Experience in logistics and optimization is a plus.
  • Prior Gas / Power trading experience desirable

Competencies:

  • Ability to communicate effectively with a diverse set of stakeholders across business lines and technology
  • Understanding and experience implementing software engineering best practices
  • Ability to solve 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 advanced analytics and data services to the trading business, and other commercial operations at Trafigura.

Trafigura’s European Gas and Power teams manage 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 responsibility for a variety of technical tasks on the desk

Day to day management will be from Traders and Analysts with data Science and engineering team providing technical direction and additional engineering and analytics support where required.

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.

Trafigura Ltd

Website: https://trafigura.com/

Headquarter Location: Singapore, Central Region, Singapore

Employee Count: 10001+

Year Founded: 1993

IPO Status: Private

Last Funding Type: Post-IPO Debt

Industries: Industrial ⋅ Mineral ⋅ Oil and Gas ⋅ Shipping ⋅ Supply Chain Management