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4 дня назад

Data Lead (Energy Trading)

Формат работы
remote (только United_kingdom)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Lead (Energy Trading): Owning trading data products, pipelines, schemas, vendor relationships, and monitoring across power markets, weather, grids, fuels, and fundamentals with an accent on reliability, point-in-time correctness, and rapid production delivery. Focus on leading data engineers, eliminating ingestion and delivery bottlenecks, and enabling accurate backtesting and trading decisions without lookahead bias.

Location: Remote; London, England, United Kingdom

Company

hirify.global is an AI-first energy company developing solar, battery, generation, grid infrastructure, real-time power trading, and distributed energy systems for consumers.

What you will do

  • Own trading data as a product across power market data, weather forecasts, grid and system data, fuel prices, and fundamentals.
  • Ship datasets and production pipelines quickly, while identifying and resolving performance bottlenecks across ingestion, storage, and delivery.
  • Design canonical schemas supporting point-in-time correctness, revisions, late-arriving data, and backtesting without lookahead bias.
  • Evaluate, onboard, and manage data vendors based on coverage, latency, licensing cost, and trading value.
  • Build monitoring for data freshness, completeness, and anomalies, with a clear response process for broken feeds.
  • Lead and grow an engineering team and map data flows across the business to enable new sources and prevent downstream issues.

Requirements

  • Track record of owning and shipping data products to real users or customers, including pipelines, data quality, delivery, and accountability for outcomes.
  • Track record of leading people and coordinating across teams, with a clear understanding of how data flows through a business.
  • Technical rigour, including the ability to investigate systems deeply, profile them, and untangle performance bottlenecks.
  • Strong schema design for time series and event data, including revisions, late-arriving data, and entity mapping across vendors.
  • Strong Python and SQL skills, with experience running production pipelines at scale.
  • Experience evaluating and negotiating with data vendors based on cost versus value.

Nice to have

  • Experience building or running a data vendor business or owning a comparable data product end to end.
  • Background in a trading firm, hedge fund, or other market-facing environment.

Culture & Benefits

  • Competitive salary and eligibility for equity.
  • Biannual bonus scheme.
  • Fully expensed technology matched to individual needs.
  • Private health insurance.
  • Breakfast and dinner allowance for office-based employees.
  • Benefits may vary by location as the company hires globally.

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