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Чёткая техническая ответственность, команда из шести инженеров и масштабные задачи на GCP делают эту руководящую роль содержательной, но без зарплаты и при полностью офисном формате важные условия остаются неизвестны.
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Текст:
Hirify AI/Оригинал
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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