Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко очерченная руководящая роль в растущей энергетической компании даёт ответственность за ключевые торговые данные, но без указанной зарплаты сложнее оценить весь пакет.
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Зарплата не указанаЧёткая зона ответственностиСовременный стекПерспективный секторАкции и бонус
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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