Lead Data Engineer

About the Company

Our client is one of the worlds leading independent commodity trading companies, operating worldwide. Known for innovation and integrity, the company is a market leader in the trade, transport, storage, and optimization of energy products. This is an opportunity to work in a global, dynamic environment at the heart of the energy sector.

Role Overview

We are seeking for a Head of Data to lead the development and execution of its enterprise data strategy across the entire trade lifecycle from pre-trade analytics to live execution and post-trade reporting. You will be responsible for overseeing critical data infrastructure, ensuring data accuracy and accessibility, and implementing a scalable, governed data ecosystem. The role demands a strategic thinker who can translate complex business needs into robust technical solutions.

Key Responsibilities

1. End-to-End Data Management

• Oversee data systems across all trading phases: pre-trade modeling, real-time execution, and post-trade analysis.

• Lead the development and maintenance of business-critical databases.

• Integrate diverse internal and external data sources into a coherent, high-performance architecture.

• Deliver real-time, actionable insights for traders, analysts, and risk teams.

2. Strategic Data Leadership

• Define and drive the organizations enterprise-wide data vision.

• Implement governance frameworks ensuring data quality, ownership, and regulatory alignment.

• Standardize lifecycle practices for data management across business lines.

• Ensure post-trade data supports accurate performance reporting and forecasting.

3. Architecture & Operational Excellence

• Design and evolve a scalable enterprise data architecture.

• Manage ingestion, processing, and secure storage of key datasets (market, position, P&L, execution, etc.).

• Maintain and enhance data monitoring systems to ensure reliability and performance.

4. Compliance & Risk Controls

• Align data management practices with external regulations and internal controls.

• Facilitate audit readiness through transparent and well-documented data operations.

• Establish proactive safeguards to mitigate data-related operational risks.

5. Leadership & Collaboration

• Build and lead a high-performing data engineering team.

• Work in partnership with IT, trading, and risk departments to align data initiatives with business objectives.

• Promote a data-first culture and enhance data literacy across teams.

6. Innovation & Optimization

• Stay ahead of trends in big data, automation, and advanced analytics.

• Continuously improve platforms and pipelines to boost data usability and processing speed.

• Evaluate emerging technologies that can improve decision-making and create a competitive edge.

Candidate Profile

• Degree in Computer Science, Data Engineering, Information Systems, or similar field.

• Strong track record in enterprise data management, governance, and architecture within trading, financial services, or energy environments.

• Expertise in the full lifecycle of trading data, from modeling and ingestion to reporting and forecasting.

• Practical experience with modern data tools, including SQL, Python, and BI platforms such as Power BI.

• Strong leadership and communication skills; comfortable working with senior stakeholders and cross-functional teams.

Desirable Skills

• Familiarity with commodity/energy trading platforms and data providers.

• Understanding of pricing mechanisms and market fundamentals.

• Experience with predictive modeling, machine learning, or AI in a trading context.

• Knowledge of financial regulations and compliance requirements impacting data management.

Your Data:
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