7 часов назад
Data Engineering Lead (Ecommerce)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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