Principal Data Engineer, Data Warehouse (TPL)

原始資料於 2026-11-04T15:06:11.619281+00:00 查閱；內容可能已更新，請查看原始職位。

About You
You will be a technically strong and proactive data engineering leader who can turn complex business requirements into robust, scalable data products. You are comfortable supporting multiple teams, bringing forward clear recommendations and new ideas, and engaging constructively when your designs are challenged. You want to help shape the future data architecture of the business, not simply deliver against a predefined specification.
As a result, we believe the following experiences and skills are essential for this role:
Demonstrable experience designing and building data warehouses; this is a non-negotiable requirement.
Hands-on production experience with ClickHouse; this is a non-negotiable requirement.
Experience delivering a columnar OLAP data platform in production, with a strong understanding of analytical query performance and data modelling.
Practical experience with Kafka and event-driven or streaming data architectures.
Strong Python engineering skills and sufficient C# literacy to work effectively with systems and codebases that use C#.
Experience modelling versioned position and P&L data, including point-in-time or as-of views and reproducible runs.
Experience working in a trading or other time-sensitive, data-intensive business environment.
Previous technical leadership, including setting standards and guiding engineering decisions.
Strong stakeholder management and communication skills, with the confidence to put forward solutions, bring ideas into discussions and engage positively with challenge.
A solution-oriented mindset and the ability to balance the needs of multiple downstream teams while maintaining coherent platform standards.
The following experience is not required, but highly desirable for this role:
Experience in commodities trading or energy markets.
Exposure to a Commodity Trading and Risk Management (CTRM) system, such as Orchestrade or Endur.
Familiarity with dbt and/or data quality frameworks.