Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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£150к/год
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Роль сочетает архитектурную ответственность уровня Staff с практической разработкой в быстрорастущей сфере AI, но широкий круг задач в стартапе и обязательное соответствие требованиям для допуска SC ограничивают круг подходящих специалистов.
Требуется допуск
?Широкая зона задач
Современный стек
Сфера искусственного интеллекта
Влияние уровня Staff
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Data Engineer (Python/Databricks/Spark): Building and operating data ingestion and entity-resolution pipelines for secure government supply-chain platforms with an accent on data integration, scalable architecture, and governance. Focus on designing production data systems, migrating product changes into secure customer environments, and coordinating complex engagements across engineering and public-sector stakeholders.
Location: London, UK; hybrid work with attendance at the London office one or two days per week
Salary: Up to £150k base
Company
Fast-growing AI company mapping global supply chains for governments, customs agencies, insurers, and large enterprises.
What you will do
Build and operate data-ingestion and entity-resolution pipelines for dedicated government-client platforms.
Work with customers to map, standardize, and integrate their data with supply-chain data.
Design architectures and systems for major initiatives, splitting time approximately 50/50 between architecture and hands-on engineering.
Improve tooling, manage migrations into secure customer environments, and support scalable product deployments.
Handle compliance activities including penetration testing and security reviews.
Coordinate larger engagements between internal engineering and customer-facing teams while leading engineering practices and mentoring others.
Requirements
8+ years of experience in data engineering or a closely related role.
Hands-on Python and Databricks experience, or an equivalent stack, plus Spark and SQL.
Experience putting data pipelines into production from design through monitoring and maintenance.
Strong data-wrangling skills, including building complex models from multiple sources and schemas.
Comfort working with cloud environments such as AWS or Azure and services including EC2, S3, IAM, and Dockerized services.
Strong understanding of engineering best practices, data security, governance, and the wider system impact of pipelines.
Experience leading or mentoring engineers and communicating with internal teams and external stakeholders.
Flexible, self-driven startup mindset with willingness to take on multiple responsibilities.
Eligibility for UK Security Check (SC) clearance, requiring 5+ years of UK residency. Existing SC clearance is a strong advantage.
Nice to have
Experience deploying ML pipelines.
Experience managing a data platform.
Public-sector experience.
Culture & Benefits
Hybrid working with one or two days per week in the London office and the remaining time from home.
Lead-level role combining architecture, system design, and hands-on engineering.
Opportunity to support government engagements across the UK and Europe.
Startup environment with broad responsibilities and emphasis on engineering best practices.
Hiring process
Contact the recruiter at j.vanbaalen@doghouse.nl to express interest.
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