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10 дней назад

Data Engineering Lead (BigQuery/GCP)

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 scalable, joined-up Customer, Commercial, and Operations data platforms for ecommerce analytics, data science, and AI-driven personalisation with an accent on domain architecture, data quality, and hands-on technical leadership. Focus on modernising BigQuery/GCP pipelines, reconciling and mastering fragmented data sources, embedding AI-assisted engineering, and developing a team of six engineers.

Location: UK, Manchester; on-site at Icon 1, WA15 0AF

Company

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

What you will do

  • Own the data engineering architecture across the Customer, Commercial, and Operations domains.
  • Define shared standards for ingestion, transformation, storage, testing, documentation, error handling, and code review.
  • Lead the evolution of the BigQuery/GCP platform, including migrations, legacy pipeline modernisation, and scalability improvements.
  • Build reliable, consolidated domain datasets and establish foundations for a single source of truth through reconciliation, deduplication, and mastering.
  • Work with Ingenuity and the Data Governance Lead to define platform interfaces, implement governance standards, and protect data quality and availability.
  • Manage, coach, and develop six domain-aligned engineers while promoting technical excellence and continuous improvement.

Requirements

  • Expert, hands-on experience building and operating production data pipelines with BigQuery and GCP.
  • Strong Python skills for pipeline development, data transformation, and automation.
  • Experience in at least two of the Customer, Commercial, and Operations data domains.
  • Experience evolving data architecture, with deep knowledge of data modelling, pipeline design, and distributed data architecture.
  • Experience with Dataform or dbt and practical use of AI in data engineering, such as AI-assisted development, automated quality checks, or anomaly detection.
  • Experience mentoring and developing engineers.

Nice to have

  • Experience building a Customer Data Platform or equivalent customer data consolidation project.
  • Familiarity with data governance principles and collaboration with governance functions.
  • Ecommerce or retail experience.
  • Experience with streaming or real-time data pipelines.

Culture & Benefits

  • Structured career development programmes and an upskilling programme delivered with an external training provider.
  • 25 days of annual leave plus bank holidays, birthday leave, enhanced parental pay, compassionate leave, and volunteer leave.
  • On-site GP, subsidised dentist, employee assistance programme, gym, and physiotherapy.
  • Salary sacrifice scheme for personal technology, subsidised bus travel from Manchester City Centre, staff discounts, and an on-site staff shop.
  • Inclusive workplace with reasonable adjustments available during the recruitment process.

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