Data engineer for analytics and AI

Invest-NL; Amsterdam; On-site; EUR 50,000 - 66,000; Full time

Benefits offered by this job

Holiday allowance

Year-end bonus

Pension plan

Impact days

Sustainable mobility

Job summary

Invest-NL ищет Data Engineer в Амстердаме для разработки и поддержки инфраструктуры данных как единого источника правды для аналитики, интеграций ИИ и BI. Роль включает проектирование моделей данных, создание ELT/ETL-пайплайнов на Azure и Databricks, а также формирование архитектуры совместно с командой.

Требуется 4+ лет в data engineering, сильные навыки моделирования данных, Python и опыт работы на Azure. Уместен опыт внедрения data governance и использования LLM API.

Qualifications

• Опыт 4+ лет в data engineering с end-to-end пайплайнами.
• + 9

Responsibilities

• Проектирование и создание основных моделей данных с устойчивостью к изменениям источников и бизнес-определений.
• Разработка и эксплуатация надежных ELT/ETL конвейеров на стеке Azure и Databricks.
• Совместная формирование архитектуры данных с командой.
• Внедрение практик управления данными: lineage, качество, ответственность, чтобы слой данных был достоверным.
• Наставничество младших и миди-уровня сотрудников.

Skills

Data engineering

Data modelling

Python

Azure

Databricks

LLM APIs

Scrum

English

Dutch

Data governance

Tools

Databricks

Azure Data Factory

Git

Job description

Описание

We believe that the Netherlands should become more sustainable and innovative. Fortunately, there are many entrepreneurs with strong plans for the future. Invest-NL is here to finance those plans and help turn them into reality. We do this with courage, decisiveness, and enthusiasm. Will you join us? To strengthen our Data & AI team, we are looking for a Data Engineer. As a data engineer you will help our development team with (re)building our data infrastructure, which will be the single source of trust for advanced analytics, AI integrations, reporting and BI.

Задачи

• Design and build our core data models, making deliberate choices that keep them resilient as source systems and business definitions evolve
• Develop and operate reliable ELT/ETL pipelines on our Azure and Databricks stack
• Shape the data architecture together with the team
• Embed data governance in practice — lineage, quality, and clear business ownership — so the data layer is genuinely trusted
• Mentoring junior/medior peers

Требования

• 4+ years in data engineering with demonstrable ownership of end-to-end pipelines from design through production; with strong SQL experience
• Strong data modelling skills
• Proficient in Python for data engineering (orchestration, transformation, testing)
• Solid experience on a major cloud platform, Azure preferred
• hands-on with Databricks and ADF or equivalent
• Working grasp of data governance in practice: lineage, quality, and clear ownership
• Git and collaborative workflows
• comfortable in a scrum team
• Experience integrating LLM APIs into data products or pipelines
• Fluent English Будет плюсом: Dutch a plus

Условия

• Salary: between €4.500-€5.900 per month based on a 36-hour workweek
• Flexible compensation: A Benefit Budget worth 20.95% of your monthly salary. This consists of 8% holiday allowance, 8.33% year-end bonus, and a personal budget of 4.615% representing above-statutory leave (86.4 hours per year based on a 36-hour workweek)
• Leave: Attractive and flexible leave arrangements
• From A to Sustainable: Sustainable mobility policy, including private use of public transport
• For the future: A solid pension plan (including a 2% personal contribution and a high employer contribution, depending on age, ranging from approximately 15% to 35%)
• Room for social impact: Up to 2 Impact Days per year for volunteer work during working hours
• And although not an employment condition, certainly just as important: driven colleagues to work with. Shared lunches twice a week, fun outings, and sporting activities (such as Cycling 4 Climate and padel tournaments).