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7 часов назад

Data Engineering Lead (Ecommerce)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Data Engineering Lead (BigQuery/GCP): Building reliable Customer, Commercial, and Operations data platforms for a global ecommerce business with an accent on data architecture, domain modelling, and AI-enabled engineering. Focus on consolidating siloed data, modernising BigQuery/GCP pipelines, and leading six engineers in delivering trusted datasets for analytics, data science, BI, and AI use cases.

Location: Icon 1, WA15 0AF, Manchester, UK; onsite role

Company

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

What you will do

  • Own the data engineering architecture for the Customer, Commercial, and Operations domains.
  • Design shared standards for data ingestion, transformation, storage, modelling, testing, documentation, and code review.
  • Lead the evolution of the BigQuery/GCP platform, including migrations, legacy pipeline modernisation, and scalability improvements.
  • Build consolidated, reliable domain datasets and establish foundations for a single source of truth through reconciliation, deduplication, and mastering.
  • Apply AI tools to pipeline development, automated testing, anomaly detection, and data quality monitoring.
  • Manage, coach, and develop six domain-aligned engineers while collaborating with Ingenuity and the Data Governance Lead.

Requirements

  • Expert hands-on experience building and operating production data pipelines with BigQuery and GCP.
  • Strong daily Python experience for pipeline development, data transformation, and automation.
  • Experience across at least two of the Customer, Commercial, and Operations data domains.
  • Strong understanding of data modelling, pipeline design, distributed data architecture, and data architecture evolution.
  • Experience with Dataform or dbt, plus practical use of AI in data engineering.
  • Experience mentoring and developing engineers.

Nice to have

  • Customer Data Platform or customer data consolidation experience.
  • Data governance experience and collaboration with governance functions.
  • Ecommerce or retail background.
  • Experience with streaming or real-time data pipelines.

Culture & Benefits

  • Structured career development and upskilling programmes.
  • 25 days of annual leave plus bank holidays, birthday leave, enhanced parental pay, and compassionate leave.
  • Volunteer leave, annual leave buy-back, and long-service anniversary gifts.
  • In-house GP, 24/7 Bupa Employee Assistance Programme, onsite gym, and physiotherapy.
  • Salary sacrifice scheme, subsidised bus pass from Manchester City Centre, staff discounts, and onsite shop.

Hiring process

  • Applications are generally reviewed within 14 days.
  • Reasonable adjustments are available during the recruitment process.

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