Data Engineer

Our client is a forward-thinking investment firm based in Dubai, UAE, specializing in commercial enterprises and management. They focus on identifying and supporting high-potential businesses, providing strategic investment, and offering expert management services to drive growth and long-term success.

We are currently looking for a Data & BI Engineer whowill build — from scratch — an internal analytics platform that consolidates market intelligence from third-party data providers (Kpler, Platts/S&P Global, OPIS) with our proprietary trading and operations data. The result: real-time decision support for traders, analysts, and senior management across crude oil and refined products.

This is a greenfield role with full ownership of data architecture, tooling decisions, and dashboard design, you'll work directly alongside experienced commodity traders and commercial teams to turn raw data into actionable insight.

Responsibilities:

• Design and operate a modern ELT/ETL pipeline ingesting data from internal systems and external market data sources (Kpler, Platts/S&P Global, OPIS, Bloomberg, Argus)
• Build and maintain a central commodity data
• Develop interactive dashboards and reports for price analysis, spreads, cargo flows, and margin calculations
• Implement concrete business use cases in close collaboration with Trading, Operations, and Commercial teams — examples include crack spread monitoring, cargo tracking, refinery margin analysis, and storage economics
• Ensure data quality, lineage, reconciliation, and documentation across all data sources and pipelines
• Translate business requirements into working analytics quickly, iterating with stakeholders to refine outputs
• Evaluate and recommend additional data sources, tools, and integrations as the platform grows

Required Experience:

• Solid experience as a Data Engineer, BI Developer, Analytics Engineer, or in a comparable role
• Strong SQL skills; Python proficiency for data pipelines, automation, and analysis (pandas, SQLAlchemy, or similar)
• Hands-on experience with BI tools such as Power BI, Tableau, Metabase, or Superset
• Familiarity with data modeling concepts — star schema, dimensional modeling, dbt, or equivalent
• Experience with or strong interest in commodity markets, ideally oil and refined products
• Knowledge of commodity market data providers (Kpler, Platts, OPIS, Argus, Bloomberg) is a significant plus
• Comfortable owning the full journey from raw requirement to finished, production-ready dashboard
• Strong communicator — able to work with both technical peers and non-technical traders or commercial staff
• Fluent in English, Russian

Nice to have:

• Experience with cloud data warehouses (Snowflake, BigQuery, Databricks, or similar)
• Familiarity with workflow orchestration tools (Airflow, Prefect, or similar)
• Experience in an energy trading, commodity house, or data-heavy financial environment

What we offer:

• Full ownership of a new analytics capability built from the ground up — no legacy constraints
• Direct access to experienced commodity traders and analysts as your primary stakeholders
• Licenses and access to leading market data platforms including Kpler, Platts, and OPIS
• Modern, cloud-first tech stack with room to shape tooling decisions
• Competitive compensation package including performance-linked components
• Flexible hybrid working model