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У роли чёткая зона ответственности, высокий технический уровень и понятный переход от прототипа к промышленной платформе, поэтому её задачи и возможное влияние хорошо определены.
?Узкий профиль
Современный стек
Чёткая зона ответственности
Энергетический трейдинг
Обучение за счёт компании
Мэтч & Сопровод
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Текст:
Hirify AI/Оригинал
TL;DR
Principal Data Engineer (Data Warehouse): Building and operating the intraday and end-of-day data serving layer between a CTRM platform and downstream risk, finance, reporting, and desk-tool consumers with an accent on ClickHouse, Kafka, robust data contracts, and reproducible position and P&L data. Focus on turning a data warehouse proof of concept into a production-ready platform, designing scalable OLAP models, and setting standards for data quality, observability, testing, and schema evolution.
Location: London, United Kingdom; full-time role based in the London office.
Company
hirify.global is a diversified commodities trading company using quantitative research, risk management, and proprietary technology to support energy trading and renewable-power optimisation.
What you will do
Own the intraday and end-of-day data serving layer between the CTRM platform and Market Risk, Credit Risk, Treasury, Finance, Reporting, and desk-tool consumers.
Design and maintain data schemas and serving contracts using SQL, APIs, Kafka, and schema registry tooling.
Define versioning and reproducibility patterns for position and P&L data, including as-of timestamps, run IDs, snapshots, and incremental updates.
Own the CTRM-to-warehouse pipeline covering ingestion, transformation, validation, and delivery.
Turn the current data warehouse proof of concept into a production-ready platform using ClickHouse, S3, Kafka, and related technologies.
Set engineering standards and provide technical leadership across modelling, schema evolution, quality, observability, testing, operational support, and stakeholder collaboration.
Requirements
Demonstrable experience designing and building data warehouses is mandatory.
Hands-on production experience with ClickHouse is mandatory.
Experience delivering a columnar OLAP data platform in production, with strong analytical query performance and data-modelling knowledge.
Practical experience with Kafka and event-driven or streaming data architectures.
Strong Python engineering skills and sufficient C# literacy to work with C# systems and codebases.
Experience modelling versioned position and P&L data, including point-in-time or as-of views and reproducible runs.
Experience in a trading or other time-sensitive, data-intensive business environment.
Previous technical leadership, including setting standards and guiding engineering decisions.
Strong stakeholder management, communication, solution-oriented thinking, and the ability to balance multiple downstream teams while maintaining coherent platform standards.
Nice to have
Experience in commodities trading or energy markets.
Exposure to a Commodity Trading and Risk Management system such as Orchestrade or Endur.
Familiarity with dbt and/or data quality frameworks.
Culture & Benefits
Collaborative, inclusive culture based on Performance, Agility, Collaboration, and Entrepreneurship.
Competitive compensation and participation in a discretionary bonus plan.
25 days of annual holiday entitlement excluding UK public holidays.
Medical, dental, life insurance, pension contributions, and partially subsidised supplemental benefits.
Access to internal and external training under the Training & Development Policy.
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