5 дней назад
Senior Data Engineer (Business Intelligence)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (Business Intelligence) (PySpark/Databricks): Designing and maintaining reliable data pipelines, analytical datasets, and BI data products with an accent on dimensional modelling, star schemas, and stakeholder-focused data solutions. Focus on modernising the BI landscape, improving existing data models, and translating business requirements into scalable analytical platforms.
Location: Utrecht, Netherlands
Salary: Negotiable EUR per year
Company
is an international IT staffing organization providing recruitment and project resourcing services across the UK, Netherlands, Germany, Belgium, and the USA.
What you will do
- Design, develop, and maintain reliable data pipelines and analytical datasets with PySpark and Databricks.
- Review, modify, and improve existing data models for changing business and reporting requirements.
- Design dimensional data models, including star schemas, and develop data products for BI and analytics.
- Translate business requirements into scalable, maintainable, and user-friendly data solutions.
- Collaborate with Business Analysts, engineers, and stakeholders in an Agile environment.
- Contribute to the modernization of the wider BI and data landscape.
Requirements
- Substantial hands-on experience as a Data Engineer or Senior Data Engineer.
- Strong practical experience with PySpark and Databricks.
- Experience designing, changing, and maintaining analytical data models.
- Strong understanding of dimensional modeling and star schemas.
- Experience creating datasets or data products for business intelligence, reporting, and analytics.
- Professional fluency in English and strong stakeholder communication skills.
Nice to have
- Experience with Power BI or Databricks dashboards.
- Experience in banking, financial services, or large enterprise environments.
Culture & Benefits
- Permanent employment.
- Work within an Agile environment with independent ownership of technical deliverables.
- Collaboration with business and technical stakeholders.
- Opportunity to contribute to BI and data modernization initiatives.
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