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DirectorУдалённоПолная занятость

Engineering Director

Оценка ИИ

Отличная вакансия для опытного лидера: возможность построить функцию с нуля при поддержке топ-менеджмента (SVP), удаленный формат работы в Великобритании или Нидерландах и работа с современным стеком (Snowflake). Высокий уровень ответственности и влияния на бизнес.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена необходимостью совмещать стратегическое руководство, найм команды с нуля и глубокую техническую экспертизу в области современных стеков данных (Snowflake, Medallion architecture). Роль требует опыта работы в условиях неопределенности и консолидации устаревших систем.

Анализ зарплаты

Медиана135 000 £
Рынок110 000 £ – 170 000 £
Оценка ИИ

Зарплата для позиции Engineering Director в Великобритании в сфере Data/Cloud обычно начинается от £110,000 и может достигать £160,000+ в зависимости от размера компании и бонусов. Данная роль предполагает высокий уровень ответственности за создание платформы, что соответствует верхней границе рыночного диапазона.

Сопроводительное письмо

I am writing to express my strong interest in the Engineering Director position at PrecisionAQ. With over 8 years of experience in data engineering and a proven track record of leading high-performing teams through complex platform consolidations, I am excited by the opportunity to transition your Data Hub strategy into a scalable, governed execution.

In my previous roles, I have successfully managed the migration of legacy data infrastructures to modern cloud warehouses like Snowflake, while fostering a culture of technical excellence and DevOps maturity. I am particularly drawn to this role because it balances strategic team building with hands-on architectural leadership, which aligns perfectly with my experience in establishing CI/CD practices and medallion data architectures in regulated environments. I look forward to the possibility of discussing how my background in scaling engineering functions can contribute to the success of PrecisionAQ's centralized platform.

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Присоединяйтесь к PrecisionAQ в качестве Engineering Director и возглавьте создание инновационного Data Hub с нуля!

Описание вакансии

Engineering Director - remote based - UK or the Netherlands

Here at Precision AQ we are building a Data Hub, a centralized platform team, to be responsible for consolidating legacy data infrastructure, establishing enterprise data foundation and governance and enabling AI/ML capabilities across the organization.  The Data Hub is moving from strategy to execution. We have a charter, a roadmap, executive sponsorship, and a clear mandate: consolidate fragmented data pipelines into a governed, scale able platform that serves multiple business units and product lines. We are now hiring an engineering leader who can build and run the team.

Job Summary:

  • Stand up and scale a high-performing engineering team
  • Own day-to-day engineering operations: sprint delivery, technical quality, capacity planning
  • Drive technical excellence: architecture decisions, code quality, DevOps/GitOps practices, production reliability
  • Be the primary escalation point for technical blockers, cross-team dependencies and delivery risks
  • Partner with the SVP on hiring, team development, vendor relationships and strategic planning

Key Responsibilities:

  • Engineering Team Leadership: Build, lead, and develop a team of data engineers, analytics engineers, and platform engineers. Set expectations, run 1:1s, manage performance, and create an environment where strong engineers want to stay and grow. You are accountable for the team’s output, quality, and morale.
  • Sprint Delivery and Capacity Management: Own the engineering delivery cadence. Run sprint planning, standups, and retrospectives. Manage capacity across concurrent workstreams (platform build, migrations, feature development). Ensure commitments are realistic and met.
  • Technical Design and Architecture: Lead technical design reviews and architectural decisions. Ensure solutions are scalable, maintainable, and aligned with our medallion data architecture. You don’t need to design everything yourself, but you need to ensure designs are sound before they go to production.
  • Engineering Quality and Standards: Establish and enforce engineering practices:such as code review, branching strategy, CI/CD, testing, documentation, incident management.
  • Partner with SVP on Hiring and Onboarding.
  • Cross-Functional Coordination: Serve as the engineering interface to Insights Hub, Evidence Solutions, Product Solutions, and IT. Translate business requirements into technical scope. Manage dependencies with Corporate IT, Security, and external vendors. Escalate blockers early and clearly.
  • Platform Operations and Reliability: Ensure production systems meet SLAs. Establish monitoring, alerting, and incident response processes.

Education and Experience:

  • 5/8+ years in data engineering, analytics engineering, or platform engineering roles
  • 3+ years leading engineering teams (hiring, performance management, delivery accountability)
  • Direct experience with modern data stack: cloud data warehouses (Snowflake preferred), transformation frameworks, orchestration tools
  • Track record of delivering complex data platform initiatives, such as migrations, consolidations, greenfield builds
  • Experience operating in regulated or compliance-sensitive environments
  • Be able to review code, debug production issues and make sound architectural judgements.

This hands-on leadership role is for you if:

  • You’ve built and scaled engineering teams and enjoyed it
  • You’re energized by the challenge of consolidating legacy systems into something better
  • You’re comfortable with ambiguity and can make progress without perfect information
  • You care about engineering craft: clean code, good tests, clear documentation
  • You want to be close to the work
  • You can balance delivery pressure with sustainable team health
  • You’re excited by the opportunity to shape a function, not just manage one

#LI-NC1 #LI-Remote

Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.

Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com.

It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

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Навыки

  • Snowflake
  • Data Engineering
  • Analytics Engineering
  • DevOps
  • GitOps
  • CI/CD
  • Architecture
  • Team Leadership
  • Capacity Planning
  • Medallion Architecture

Возможные вопросы на собеседовании

Проверка опыта в проектировании масштабируемых систем и понимания современных стандартов.

Расскажите о вашем опыте внедрения архитектуры 'medallion' (bronze/silver/gold). С какими основными сложностями вы сталкивались при обеспечении качества данных на каждом этапе?

Оценка лидерских качеств и способности формировать команду в условиях роста.

Опишите ваш подход к найму и онбордингу инженеров данных. На какие ключевые компетенции и 'soft skills' вы обращаете внимание в первую очередь при создании новой команды?

Важно понять, как кандидат справляется с техническим долгом и сопротивлением изменениям.

Как вы подходите к консолидации разрозненных legacy-пайплайнов? Как вы расставляете приоритеты между поддержкой старых систем и разработкой новой платформы?

Проверка навыков операционного управления и работы с ожиданиями бизнеса.

Как вы управляете мощностями команды (capacity planning) при наличии множества параллельных стримов: миграции, разработка новых фич и поддержка платформы?

Оценка технической глубины и культуры разработки.

Какие конкретные практики DevOps и GitOps вы считаете обязательными для современной платформы данных и как вы обеспечиваете их соблюдение в команде?

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