9 часов назад
Head of Data Engineering & Governance (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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 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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