- Страна
- Канада
- Зарплата
- 120 000 CA$ – 140 000 CA$
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Staff Analytics Engineer, Growth
Отличная позиция в известной международной компании с прозрачным диапазоном зарплаты и сильным социальным пакетом. Роль предлагает высокий уровень влияния на стратегию и работу с передовыми технологиями (AI, dbt, Snowflake).
Сложность вакансии
Роль уровня Staff требует не только глубоких технических знаний (SQL, Python, dbt), но и лидерских качеств для управления изменениями и менторства. Высокая сложность обусловлена ответственностью за глобальную архитектуру данных и интеграцию AI-решений.
Анализ зарплаты
Предложенная зарплата в 120,000 – 140,000 CAD соответствует рыночному уровню для Senior ролей в Торонто, однако для позиции уровня Staff это скорее нижняя и средняя граница диапазона. В крупных технологических компаниях Канады Staff-инженеры могут претендовать на суммы до 160,000 CAD и выше, учитывая бонусы.
Сопроводительное письмо
I am writing to express my strong interest in the Staff Analytics Engineer (Growth) position at HelloFresh. With over 7 years of experience in building robust data architectures and a deep mastery of the modern data stack, including Snowflake and dbt, I am confident in my ability to lead the Growth Alliance's technical strategy. My background in refactoring complex pipelines and implementing medallion architectures aligns perfectly with your goal of creating AI-ready data foundations.
Throughout my career, I have focused on bridging the gap between technical design and business value. I am particularly drawn to HelloFresh's data-driven culture and the opportunity to mentor a high-performing team while optimizing global scalability. I am eager to bring my expertise in Python, SQL, and observability tools to ensure the reliability of your P0 pipelines and to drive the adoption of innovative data workflows that support HelloFresh’s continued expansion.
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Откликнитесь в hellofresh уже сейчас
Присоединяйтесь к HelloFresh в Торонто и станьте архитектором данных, определяющим стратегию роста мирового лидера в доставке продуктовых наборов!
Описание вакансии
S'more about the team
As a Staff Analytics Engineer, you will be the technical architect and strategic lead for data assets driving HelloFresh’s growth globally. Data-driven decision making is at the core of our company culture and your extensive experience and knowledge across technical and business related topics will enable us to make better and faster decisions. You will work with teams across the Growth Alliance - for example Conversions, Payments, Pricing/Benefits, Communications and Adtech - by proactively identifying opportunities and building data infrastructure for insights and AI usage. You will be an influential member of the Growth Analytics team, mentoring other team members and leading the adoption of new technologies and ways of working.
Lettuce share what this role will be responsible for
- Lead Data Quality & Strategic Optimization: Act as the final authority on SQL/Python reviews and own strategic systems. You will resolve systemic deficiencies, manage non-functional requirements like global scalability, and make high-level design trade-offs in ambiguous, high-risk situations.
- Architect Robust Data Models & AI Foundations: Drive the design of scalable models and create AI-ready data foundations. You will transform data through medallion architecture (Bronze to Gold) to ensure high-quality feature engineering and "truth sets" that intuitively reflect complex business logic.
- Drive Pipeline Stewardship & Best Practices: Take ultimate accountability for pipeline reliability and define the tooling roadmap. You will lead high-impact migrations, set monitoring strategies for latency and throughput, and evangelize the adoption of new technologies like DBT and observability tools.
- Enable Cross-Functional Strategy & Mentor the Team: Partner with leadership to translate business goals into technical roadmaps while you mentor and scale the team. You will develop self-service tools for analysts and initiate organizational changes to improve delivery speed and data accuracy.
Sound a-peeling? Here's what we're looking for
- Leadership in Analytics Engineering & Change Agency: 7+ years of experience with a proven track record of owning technical strategy across multiple business domains. You don’t just manage the status quo; you actively simplify codebases, resolve root-cause deficiencies, and lead teams through complex migrations.
- Mastery of the Modern Data Stack & AI Proficiency: Expert-level SQL and Python skills with deep experience refactoring complex pipelines (e.g., Snowflake, dbt). You possess a strong understanding of the data lifecycle for AI and are familiar with LLM-integrated data workflows.
- Strategic Problem Solving & Exceptional Communication: Ability to solve high-complexity technical problems and anticipate bottlenecks before they hit the business. You can effectively advise Senior Leadership, bridging the gap between deep technical architecture and business value.
- Operational Excellence Mindset & Pragmatism: A focus on "metrics that matter" (P0 pipelines, MTTR, documentation) combined with the business acumen to know when to drive standards and when to adapt for optimal outcomes.
Let’s cut to the cheese, this is why you'll love it here
- *Box Discount* - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
- *Health & Wellness* - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
- *Vacation & PTO* - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance.
- *Family Benefits* - A parental leave top-up program for expectant parents.
- *Growth & Development* - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
- *Work Hard & Have Fun* - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
- *Diversity & Inclusion Initiatives* - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
- *Food Puns* - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!
Flexible Hybrid Approach
At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience.
To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.
#LI-HYBRID
HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.
This is a posting for an existing vacancy. We are actively seeking to fill this position.
Toronto, ON Pay Range
$120,000—$140,000 CAD
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Навыки
- SQL
- Python
- dbt
- Snowflake
- Data Modeling
- Feature Engineering
- Observability
- LLM
- Architecture
Возможные вопросы на собеседовании
Проверка опыта проектирования сложных систем и понимания уровней обработки данных.
Опишите ваш опыт внедрения Medallion Architecture (Bronze/Silver/Gold). С какими основными трудностями вы столкнулись при обеспечении качества данных на уровне Gold?
Оценка навыков оптимизации и работы с современным стеком (Snowflake/dbt).
Расскажите о случае, когда вам пришлось проводить масштабный рефакторинг критически важного пайплайна. Как вы обеспечили надежность и отсутствие простоев в процессе миграции?
Проверка готовности кандидата работать с AI-инструментами и LLM.
Как вы подходите к созданию 'AI-ready' фундаментов данных? Какие специфические требования предъявляются к качеству и структуре данных для обучения моделей или интеграции с LLM?
Оценка лидерских качеств и умения влиять на процессы.
Как вы балансируете между внедрением строгих технических стандартов и необходимостью быстрой поставки ценности для бизнеса в условиях неопределенности?
Проверка навыков мониторинга и обеспечения отказоустойчивости.
Какие метрики (например, MTTR, latency) вы считаете приоритетными для мониторинга здоровья пайплайнов в Growth-домене и какие инструменты обсервабильности вы предпочитаете использовать?
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- Страна
- Канада
- Зарплата
- 120 000 CA$ – 140 000 CA$