обновлено 4 дня назад
Analytics Engineer (EdTech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics Engineer (Databricks/dbt): Building governed product data models, semantic layers, event taxonomies, and shared metrics for an activation-first EdTech product with an accent on data trust, dimensional modelling, and measurement governance. Focus on designing reusable silver-to-gold transformations, enforcing data contracts and quality gates, and enabling product teams to make decisions from reliable activation, engagement, and retention data.
Location: Hybrid in Eindhoven or Amsterdam, Netherlands, or Berlin, Germany
Company
is an international EdTech company creating in-house online training experiences for organisations across Europe.
What you will do
- Assess the Databricks data estate, define trust levels, and propose ownership for sources and tables.
- Build and version dbt silver-to-gold transformations using dimensional modelling, semantic layers, and point-in-time dimensions.
- Design and roll out a shared event taxonomy and naming convention with engineering.
- Own the metric catalog and sign-off process, including activation, engagement, and retention models.
- Build semantic models and documentation for self-service product and business analytics.
- Define data quality standards, monitor instrumentation, and embed sign-off into the Definition of Done.
Requirements
- Production-level SQL experience and Git as a regular working practice.
- Experience with dimensional modelling and semantic layers.
- Experience creating tracking plans or event taxonomies with engineering teams.
- Experience enforcing data contracts, CI validation, Definition of Done gates, or similar processes.
- Ability to translate ambiguous product and business questions into durable measurement definitions.
- Experience working closely with product managers, designers, and engineers in a product environment.
Nice to have
- Experience with Databricks or Unity Catalog.
- Experience with B2B SaaS multi-surface products.
- Experience with data observability tooling.
Culture & Benefits
- Hybrid work environment with a laptop and travel budget.
- 25 days of paid holiday.
- Unlimited access to learning resources and MyAcademy.
- Mental coaching and diverse teams working across Europe.
- Pension and disability insurance coverage.
- Paid annual volunteer day, themed events, and team-building activities.
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 →
Похожие вакансии
8 дней назад
Senior Analytics Engineer (eCommerce)
70 000 - 85 000€
8 дней назад
Analytics Engineer
8 дней назад
Data Engineer (EU) (FinTech)
2 800 - 4 550€
9 дней назад
Senior Analytics Engineer (Supply Data Solutions)
60 000 - 70 000€
6 дней назад
Data Engineer (Fintech)
50 000 - 97 000€
8 дней назад
AI-First Analytics Engineer
72 000 - 82 000€