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Data Engineer (AI)

Формат работы
hybrid
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

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TL;DR
Data Engineer (AI): Building scalable batch and near-real-time data pipelines and infrastructure for AI-driven products and audience intelligence with an accent on Python, SQL, data platforms, and production reliability. Focus on evolving the Global:IQ platform, implementing data quality and governance, and delivering production-ready datasets for targeting, optimisation, and measurement.

Location: Holborn, London, UK; minimum of three office days each week, with office days including at least two Mondays and two Fridays each month

Company

hirify.global operates media and entertainment platforms and is developing the hirify.global:IQ data platform for AI-driven products and audience intelligence.

What you will do

  • Design, build, and maintain scalable batch and near-real-time pipelines across ingestion, transformation, and serving layers.
  • Develop reusable data models and components while improving performance, reliability, and cost.
  • Shape the hirify.global:IQ platform through architecture, tooling, CI/CD, infrastructure as code, and technical documentation.
  • Implement data validation, testing, lineage, observability, governance, and privacy-conscious data handling.
  • Partner with Data Science, MLOps, Product, and commercial teams to deliver production-ready data solutions and mentor others.

Requirements

  • Strong Python and SQL skills with experience building production-grade data pipelines.
  • Hands-on experience with modern data tools such as Snowflake, Airflow, and dbt, plus cloud environments, preferably AWS.
  • Knowledge of CI/CD, testing, version control, and infrastructure as code.
  • Understanding of observability, validation, data quality, governance, and reliable data systems.
  • Ability to translate business and data science needs into scalable solutions and communicate clearly with stakeholders.
  • Pragmatic, ownership-driven, curious approach and passion for building impactful data products.

Culture & Benefits

  • Collaborative, cross-functional environment spanning technical and commercial expertise.
  • Standard Smart Working approach combines flexibility with in-person collaboration and requires a minimum of three office days per week.
  • Inclusive workplace with reasonable adjustments available throughout the recruitment process and workplace.

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