1 месяц назад
Data Engineer (Microsoft Fabric)
30 000 - 2 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Microsoft Fabric): Building and operating ingestion pipelines, warehouse models, and governed datasets for the Odevo Data Warehouse with an accent on Microsoft Fabric, dimensional modelling, and multi-country data. Focus on onboarding source systems, implementing tested Bronze/Silver/Gold transformations, resolving pipeline failures, and delivering reliable datasets for BI products.
Location: Stockholm, Sweden — hybrid
Company
provides technology-enabled residential property management services across multiple international markets.
What you will do
- Build and maintain ingestion pipelines in Microsoft Fabric Data Factory for APIs, databases, SaaS platforms, and file-based feeds.
- Develop and test Bronze, Silver, and Gold transformation models using medallion architecture and modular SQL modelling.
- Design dimensional models and datasets supporting multi-entity, multi-currency, and multi-country data.
- Monitor pipeline health, investigate failures, handle source schema changes, and improve reliability and operating cost.
- Implement data quality tests and prepare governed datasets for BI developers, semantic models, and downstream applications.
- Collaborate with BI developers and business stakeholders to translate analytical needs into reliable pipelines and models.
Requirements
- 2–4 years of hands-on experience building and maintaining production data pipelines.
- Strong SQL and Python skills for data manipulation, automation, and API-based ingestion.
- Experience with Microsoft Fabric Data Factory, Synapse Data Warehouse or Lakehouse, and OneLake, or equivalent Azure technologies.
- Practical experience with transformation frameworks, tested SQL modelling, data warehousing, ELT, and dimensional modelling.
- Experience with Git-based version control and CI/CD pipelines, ideally Azure DevOps.
- Knowledge of GDPR, personal data handling, role-based access, and data security practices.
Nice to have
- Experience integrating newly acquired businesses or consolidating data across legal entities.
- Experience using Power BI as a consumer of data models.
Culture & Benefits
- Professional growth alongside experienced developers and data professionals.
- Access to modern technologies and tools, with encouragement to share ideas and take ownership.
- Work on technology projects intended to improve residential property management.
- Focus on quality and long-term product development.
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