5 дней назад
Data Engineer (Microsoft Fabric)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Microsoft Fabric): Building and improving data platforms, ELT/ETL pipelines, and cloud data solutions for financial and operational insight with an accent on Microsoft Fabric, Azure, Python, SQL, and Power BI. Focus on designing medallion architecture, integrating complex datasets, improving data quality and observability, and operating reliable lakehouse and warehouse infrastructure.
Location: Cambridgeshire, United Kingdom
Company
is partnering with a leading FMCG company to expand its data and analytics team.
What you will do
- Design, build, operate, and improve ELT/ETL data pipelines using Microsoft Fabric and Azure.
- Develop data solutions based on Bronze, Silver, and Gold medallion architecture.
- Integrate internal and external data sources and manage lakehouses, warehouses, and storage.
- Implement data quality, testing, observability, lineage, and self-service analytics capabilities.
- Monitor infrastructure performance, troubleshoot incidents, perform root-cause analysis, and deploy fixes.
- Contribute to CI/CD, documentation, engineering standards, and cross-functional technology projects.
Requirements
- At least five years of experience across data engineering, data analytics, and/or business intelligence.
- Proficiency in Python and SQL, with strong knowledge of Spark.
- Excellent knowledge of Microsoft Fabric and Power BI Service.
- Experience building and operating Azure data pipelines using ADF, Synapse, and Fabric.
- Knowledge of version control, Azure DevOps, CI/CD, Terraform, identity and secrets management, and cloud cost optimisation.
- Understanding of information management, Master Data Management, development methodologies, and long-term solution supportability.
Culture & Benefits
- Hands-on work with modern cloud data technologies.
- Opportunity to contribute to significant technology and transformation projects.
- Collaboration with IT colleagues and stakeholders across the wider business.
- Focus on reliable, maintainable, and fit-for-purpose data solutions in a fast-moving FMCG environment.
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