Senior Data Engineer
Коротко о вакансии
Вы будете одним из первых участников новой команды данных в Budget Thuis, голландском поставщике энергии. Вам предстоит с нуля построить платформу данных: выбирать инструменты для хранилища, ELT и оркестрации, проектировать архитектуру, разрабатывать и поддерживать пайплайны. Также вы будете наставлять коллегу, проверять качество данных, быстро реагировать на сбои и помогать устанавливать технические стандарты. Ваш опыт будет влиять на ключевые решения, так как стек ещё не определён.
- Формат работы
- офис
- География
- Амстердам, Нидерланды
- Зарплата
- 6 500 — 7 800 € — по данным Budget Thuis
- Ключевые требования
- Опыт построения платформ данных с нуля
- Навыки оценки и выбора инструментов для стека данных
- Умение проектировать архитектуру и принимать решения на уровне архитектуры
- Опыт внедрения проверок качества данных (null checks, row counts, schema validation, dbt tests)
- Навыки менторства и код-ревью
- Кому подойдёт
- Вакансия подойдёт опытным Data Engineer, которые хотят с нуля построить платформу данных в небольшой команде и влиять на выбор технологий.
Пересказ openqareer по тексту работодателя. Ниже — оригинал объявления.
How do you build a reliable pipeline when the tools haven't even been chosen yet?
As Senior Data Engineer at Budget Thuis, you'll help lay the technical foundation for how a Dutch energy supplier uses its data, from warehouse to orchestration and be one of the more experienced voices in the room while we figure it out. Curious what that looks like in practice? Read on.
What You'll Do
As Senior Data Engineer, you'll be one of the first members of our new data team and help build our data platform from scratch, working alongside one Data Engineer peer.
-
Help evaluate and choose the tools for our data stack: data warehouse, ELT, and orchestration — and make architecture-level calls together with your manager, not just implement someone else's design.
-
Build and maintain data pipelines, and mentor and unblock your peer day-to-day, without formal management responsibility.
-
Add data quality checks to every pipeline change: null checks, row counts, schema validation, and dbt tests (or equivalent) as standard practice, not an extra step.
-
Break your work into small, deployable increments and keep pull requests focused.
-
Monitor pipeline outputs after every deployment and keep the codebase easy to work with.
-
Respond quickly to pipeline failures, investigate the root cause, and escalate when an issue is bigger than the two of you.
-
Review pull requests with constructive feedback, pair with your peer on complex or unfamiliar work, and help set the technical bar the team grows on.
-
Communicate early when changes affect downstream consumers such as BI, ML, or customers, and prioritize based on customer impact.
-
Share what you've learned from past platform builds — including what you'd do differently — and help translate that into how this team works.
About the Team
You'll work closely with our Senior Engineering Manager, Data Platform, the BI team and our engineering teams who will produce data for and consume data from, your pipelines every day. The data platform team is brand new, so you'll help set up not just the architecture, but also the tools and ways of working around them. We haven't locked in our stack yet, which means your input on choices like the data warehouse or orchestration tool actually counts — and carries real weight given your experience. It's a small team, so you'll see the direct result of your work and help shape how things get done from day one.
openqareer не кадровое агентство: вакансия собрана с открытого источника, отклик подаётся на сайте работодателя.