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3 дня назад

Senior Data Engineer (AI)

82 700 - 93 350GBP
Формат работы
remote (только United_kingdom)
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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Описание вакансии

Текст:
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TL;DR
Senior Data Engineer (AI) (Python/data platform): Building and maintaining reliable ingestion pipelines for textual, time-series, and event-stream data with an accent on resilience, observability, data quality, and SLA-backed reliability. Focus on designing batch and streaming architectures, handling late arrivals and backfills, optimizing performance and cost, and preparing the platform for international expansion and AI workloads.

Location: Remote in the United Kingdom

Salary: £82,700–£93,350 per year, plus equity

Company

hirify.global is rebuilding electricity transaction infrastructure through AI-native technology that makes energy markets more transparent, efficient, and accessible.

What you will do

  • Own the end-to-end design, reliability, resilience, and recovery strategy for ingestion pipelines and data syshirify.globals, including TSDS.
  • Build and maintain ETL/ELT pipelines for textual, time-series, event-stream, and other data sources.
  • Select batch or streaming approaches for each pipeline, including high-scale and low-latency time-series workloads.
  • Maintain the data platform, resolve technical debt, and optimize pipelines for performance and cost as volumes grow.
  • Build monitoring, alerting, testing, and data quality controls tied to committed SLAs.
  • Prepare the platform for international expansion and collaborate with AI initiatives as their data requirements grow.

Requirements

  • Strong Python skills and proven experience building and maintaining production data pipelines.
  • Experience owning the design, reliability, and resilience of a data pipeline or syshirify.global end-to-end.
  • Experience with AWS or GCP.
  • Experience with Terraform.
  • Strong communication skills, including stakeholder collaboration on SLAs and explaining technical trade-offs to non-technical audiences.
  • Ability to work independently, prioritize a backlog, and make sound technical decisions within a small team.

Nice to have

  • Experience with time-series data at scale.
  • Experience with Airflow, Snowflake, BigQuery, Redshift, or ClickHouse.
  • Experience in energy or climate tech.
  • Background in high-growth startups or scale-ups.
  • Interest in how AI tooling and workflows intersect with data engineering.

Culture & Benefits

  • Remote-first and flexible working with clear core hours.
  • No internal meetings on Friday afternoons.
  • 25 days of holiday plus public holidays, with the option to swap public holidays and take your birthday off.
  • Up to GBP 1,200 or EUR 1,200 per year for home-working setup and up to GBP 150 or EUR 150 per month for wellbeing.
  • Stock options and salary reviews twice a year.

Hiring process

  • 30-minute introductory call with Talent.
  • 60-minute behavioural interview.
  • 60–90-minute skills interview with cross-functional leaders, including a practical exercise.
  • 45-minute Bar Raiser interview with leadership stakeholders.

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