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9 часов назад

Head of Data Engineering & Governance (AI)

Тип работы
fulltime
Грейд
head
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
Head of Data Engineering & Governance (GCP/BigQuery): Building and governing the data foundations that power analytics, data science, AI use cases, and performance reporting across a large e-commerce group with an accent on data architecture, quality, metadata, lineage, and reporting consistency. Focus on establishing a greenfield governance framework, evolving the GCP/BigQuery platform, reducing data silos, and leading Engineering, Governance, and Reporting functions.

Location: UK, Manchester — Icon office, WA15 0AF

Company

hirify.global is a global e-commerce group operating beauty and sports nutrition businesses, including LOOKFANTASTIC, Myprotein, ESPA, Perricone MD, and Cult Beauty.

What you will do

  • Set the vision and roadmap for data engineering, governance, and reporting across hirify.global PLC.
  • Define and evolve Customer, Commercial, and Operations data domains for analytics, data science, and AI use cases.
  • Lead the Engineering team in building and maintaining data pipelines, domain datasets, and platform architecture on GCP and BigQuery.
  • Establish engineering standards covering version control, testing, error handling, and documentation.
  • Build the data governance framework covering quality, metadata, definitions, mastering, and lineage.
  • Own consistent business performance reporting, lead the Tableau estate, and develop Engineering, Governance, and Reporting leaders.

Requirements

  • Significant data engineering, data platform, or data leadership experience, typically 8+ years, including at least 3 years at senior or head-of level.
  • Deep hands-on experience building and scaling data platforms with GCP and BigQuery.
  • Experience across multiple data domains and a proven record of evolving business data architecture.
  • Strong understanding of data quality, metadata management, mastering, lineage, and governance principles.
  • Experience working with a technology partner or platform team and demonstrated use of AI in data engineering.
  • Strong leadership and stakeholder management skills, including influencing Director and C-suite stakeholders.

Nice to have

  • Experience in e-commerce, retail, or consumer goods.
  • Familiarity with Dataform, dbt, or equivalent transformation frameworks.
  • Experience with data cataloguing or governance tools such as Collibra, Alation, or DataHub.
  • Exposure to ML/AI platform requirements and data foundations for data science and personalisation.

Culture & Benefits

  • Bespoke development programmes and continued upskilling through an external training partnership.
  • 25 days of annual leave plus bank holidays, birthday leave, enhanced parental pay, compassionate leave, and volunteer leave.
  • Access to an in-house GP, 24/7 Bupa Employee Assistance Programme, on-site gym, and physiotherapy.
  • Salary sacrifice savings on personal technology, a subsidised bus pass, staff discounts, and an on-site staff shop.
  • Inclusive workplace with reasonable adjustments available during the recruitment process.

Hiring process

  • Applications are typically reviewed within 14 days.
  • Reasonable adjustments can be requested if invited to interview.

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