Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше рынка
£80к-90к/год
£51к£60кмедиана£68к
По похожим ролям (50) ~ £60к/год
На СНГ рынке: $3.8к/мес ($3к - $4.3к)
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Хорошая вакансия
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Чёткая зона ответственности на уровне Staff, современный стек, хорошие условия и зарплата выше рыночного ориентира делают вакансию привлекательной, хотя в неё также входит управление сотрудником.
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Управление сотрудникомСовременный стекВыше рынкаХорошие льготыПризнаки роста
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Data Platform Engineer (Data Platform): Own and scale Yoto’s end-to-end data platform across GKE infrastructure, ingestion, orchestration, transformation, and governance with an accent on architecture, reliability, and company-wide data capabilities. Focus on defining technical roadmaps, documenting cross-domain trade-offs, building platform standards, and developing a data engineer through hands-on technical leadership.
Location: Hybrid, with at least one day per week on average in the central London office. Work from a different location for up to six weeks per year.
Salary: £80,000–£90,000 per year, based on experience.
Company
hirify.global is a screen-free interactive audio platform for children, combining connected audio players with a catalogue of more than 1,000 titles from creators, publishers, and music labels.
What you will do
Own the architecture, reliability, and long-term health of the end-to-end data platform.
Lead platform capabilities across GKE-hosted infrastructure, data ingestion, orchestration, transformation, and SQL workflows.
Define the data platform roadmap and document technical investments, trade-offs, and architectural decisions.
Partner with data science, analytics, product, and software engineering to turn business requirements into scalable platform capabilities.
Set standards for data governance, access controls, data quality, and ownership.
Manage and develop a mid-level data engineer while raising technical capability across the wider data team through reviews, documentation, and pairing.
Requirements
Extensive hands-on experience in data engineering or analytics engineering with ownership of platform-level systems.
Experience designing and operating production data platforms across cloud infrastructure, orchestration, ingestion, and transformation layers.
Practical experience with GCP, BigQuery, Terraform, Kubernetes, Dagster, dlt, and dbt, or equivalent transferable tools.
Ability to make and document architecture decisions involving meaningful trade-offs across teams or domains.
Experience establishing technical standards for Python, SQL, and infrastructure code.
Ability to define ambiguous technical problems, including what needs to be built and why.
Nice to have
Previous line-management experience, including setting objectives and running performance conversations.
Familiarity with GitOps practices in a data platform context.
Culture & Benefits
High-trust environment with significant independence and opportunities to contribute to decision-making.
Summer Hours policy and flexible hybrid working arrangements.
Private medical insurance or a wellbeing allowance, employee assistance support, income protection, and life assurance.
25 days of annual leave plus bank holidays, birthday leave, additional service-based leave, and a sabbatical option.
Enhanced family leave, workplace nursery savings, volunteer days, and a professional book allowance.
Inclusive workplace with regular diversity, equity, and inclusion forums, plus company socials and a hirify.global player with starter cards.
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