Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указана
На похожих ролях по рынку
$70к$83кмедиана$105к
49 в выборке
На СНГ рынке: $3.8к/мес ($3.1к - $4.4к)
82
Хорошая вакансия
развернуть
Это хорошо описанная руководящая роль в цифровом ритейле с ответственностью за крупную команду и сильным пакетом льгот, но без зарплаты сложно оценить общее предложение.
Кликните для подробной информации
Зарплата не указанаМасштабное руководствоСовременные технологииЩедрый пакет льготГибридный формат
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineering Manager (AWS): Leading data engineering managers, BI engineering managers and lead engineers while shaping scalable data platforms, pipelines and products with an accent on people leadership, cloud adoption and platform modernisation. Focus on setting technical strategy, managing technical debt, delivering secure and reliable data products, and driving collaboration across technology, product and business stakeholders.
Location: Liverpool, England, United Kingdom; flexible hybrid working model.
Company
Digital retailer Very uses data platforms, pipelines and products to support reporting, analytics, data science, personalisation and business decision-making.
What you will do
Lead multiple Data Engineering Managers, BI Engineering Managers and Lead Engineers across an organisation of around 40 engineers and analysts.
Build, develop and retain high-performing engineering teams through coaching, mentoring, clear direction and continuous improvement.
Shape data engineering strategy, technical direction, cloud adoption, platform modernisation and technical debt management.
Oversee the delivery of secure, reliable and scalable data products, platforms and pipelines.
Drive engineering excellence through modern practices that improve quality, speed, resilience and operational performance.
Partner with Architecture, Product, Technology and business stakeholders to translate priorities into engineering outcomes.
Requirements
Significant experience leading large-scale data engineering organisations in modern technology environments.
Strong experience delivering data platforms, pipelines and products at scale, with previous hands-on Data Engineering experience.
Experience with AWS, cloud-based data platforms, Teradata, Fivetran, data integration tooling, Power BI and business intelligence.
Experience working in Agile, DevSecOps and product-led delivery environments.
Experience managing technical debt, engineering roadmaps, platform modernisation and complex enterprise or multi-cloud data environments.
Strong people leadership, stakeholder management, strategic thinking and senior-level influencing skills.
Nice to have
Experience in retail, eCommerce, financial services or another data-rich organisation.
Culture & Benefits
Flexible hybrid working model and an inclusive working environment.
£10,000 flexible benefits allowance.
30 days of holiday plus bank holidays.
LinkedIn Learning access and performance-related bonus potential.
Up to 25% discount on Very.co.uk and matched pension contributions up to 6%.
Hiring process
Initial talent acquisition call followed by CV review with the hiring manager.
One-stage process consisting of a one-hour face-to-face interview with the hiring team, including competency questions.
Successful candidates must complete credit, CIFAS and Right to Work checks, with a DBS check where required.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →