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6 дней назад

Principal Data Engineer (Data Warehouse)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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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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