Data engineer in edtech

Studytube; Amsterdam; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid work arrangement

25 vacation days

Learning budget

MacBook Air

Phone allowance

Catered lunches

Job summary

Studytube ищет Data Engineer для владения данными: платформа Snowflake, миграция на Databricks и настройка инфраструктуры в Azure. Вы будете строить надежные конвейеры, обеспечивать безопасность и соответствие GDPR, работать с DBT Cloud и инструментами анализа данных для поддержки продаж и маркетинга.

Компания предлагает гибридный режим работы: 3 дня в офисе и 2 дома, 25 дней отпуска, обучение и техническое развитие, кредит на обучение и сопутствующие бонусы.

Qualifications

• 3–6 лет продакшн-опыта как data engineer.
• Опыт проектирования и реализации надежного ETL/ELT.
• Знакомство с Databricks, Snowflake и dbt Cloud.
• Опыт работы с GitHub Actions и инфраструктурой как кодом.
• Умение работать в scale-up и приводить хаос к порядку.
• Знание GDPR и умение проектировать под retention и deletion.

Responsibilities

• Управляешь платформой Snowflake: роли, кэширование, мощности, задачи и бюджеты.
• Управляешь GitHub для data-платформы: ветки, окружения, авто-изы.
• Подготавливаешь миграцию Snowflake → Databricks с планированием на следующий год.
• Строишь конвейеры: инкрементальные, идемпотентные, документированные.
• Обеспечиваешь надежное выполнение dbt Cloud: зависимости, расписания, обработки ошибок.
• Контролируешь freshness, volume и drift, ищешь корень проблемы.

Skills

3–6 лет опыта Data Engineer

Проактивность

Умение объяснять trade-offs

Умение работать без команды поддержки

Коммуникация с нетехническими коллега

Tools

Databricks (Delta Lake, Unity Catalog)

dbt Cloud

Snowflake

Fivetran

Terraform

Azure

Looker

Job description

Описание:

Studytube makes professional development accessible. Behind the platform is a growing stream of learning data. It needs to genuinely help customers, the business and the AI features we’re building. We’re looking for a Data Engineer to own the data layer.

Задачи:

• You own the Snowflake platform: roles and permissions, warehouse sizing and provisioning, tasks and costs.


• You manage GitHub for the data platform: branches, environments and automation with GitHub Actions.


• You take over Databricks, set up for a high-security environment, from an external party and prepare the migration from Snowflake to Databricks, planned for next year.


• You build pipelines that are incremental, idempotent, tested and documented, and connect sources via Fivetran or custom connectors.


• You ensure dbt Cloud runs reliably: dependencies, scheduling and failure handling.


• You monitor freshness, volume and schema drift, and find the root cause when something breaks.


• You clean up the architecture, make the platform extensible and build with GDPR in mind: access, retention and deletion are part of the design.


• You lay the foundations for metrics that sales, marketing and product use to make decisions, instead of manual spreadsheets.

Требования:

• You have 3 to 6 years of production experience as a data engineer.


• You’ve already encountered the pitfalls and can deliver a tested, monitored solution without a platform team behind you.


• You’re proactive and identify what could be improved yourself.


• You’re comfortable in a scale-up: you can handle some chaos and bring structure to it.


• You explain trade-offs clearly to non-technical colleagues.


• You make analytics engineers and analysts productive. If they can’t find, understand or trust a table, or get stuck on tooling or access, the work isn’t finished.


• Production experience with Databricks (Delta Lake, Unity Catalog), preferably on Azure.


• In-depth production experience with dbt (Cloud): Jinja, automated testing, deployment pipelines and environments.


• Experience setting up and structuring a Git workflow: branching strategy, pull requests and code review.


• Terraform or other infrastructure-as-code.


• Snowflake or a comparable warehouse.


• Python and ingestion via Fivetran or custom connectors.


• Data tests as standard, with an eye for cloud costs.


• Professional level of English, written and spoken.


• Willingness to undergo a Dutch security screening (VGB).


• Будет плюсом: A warehouse migration, Looker or data contracts, regulated or public-sector environments, B2B SaaS

Условия:

A competitive salary and the opportunity to establish data engineering at Studytube. Hybrid working: 3 days at the office in the Houthavens, 2 days from home. 25 vacation days plus a day off on your birthday. 3% pension through a.s.r., fully paid by Studytube. €1,000 annual learning budget, half of which can be used for wellbeing or your home office. LevelUp Academy, Studygym, MacBook Air and a €10 phone allowance. Catered lunches for a small contribution, quarterly outings and an annual company party.