Data Engineer - Microsoft Fabric & Lakehouse ETL

Harnham; Nottingham; Presencial; GBP 60.000 - 70.000; Jornada completa

Descripción de la vacante

Harnham is seeking a skilled Data Engineer to help build and scale a modern Microsoft Fabric data platform that will serve as the central source of truth for reporting and analytics. You will work with the Lead Data Engineer and a cross-functional team to deliver data solutions across Bronze, Silver and Gold architectures.

The role involves integrating data from multiple sources, building scalable pipelines with Python, SQL and PySpark, and enabling CI/CD practices within a cloud-first

Formación

• Hands-on experience with Microsoft Fabric platform.
• Experience building ETL/ELT pipelines.
• Experience working in Azure environments.
• Strong SQL skills for data transformation and modelling.
• Knowledge of data warehousing, lakehouse architectures and medallion architecture.
• Strong communication with both technical and non-technical stakeholders.

Responsabilidades

• Build data solutions within Microsoft Fabric.
• Develop and maintain Bronze, Silver and Gold data architectures.
• Integrate and transform data from multiple sources into Lakehouse environments.
• Build scalable data pipelines using Python, SQL and PySpark.
• Support the centralised enterprise data platform and single source of truth.
• Collaborate with stakeholders to gather requirements and understand business data needs.
• Support CI/CD adoption and modern engineering standards.

Conocimientos

Microsoft Fabric

ETL/ELT pipelines

Azure

SQL

Data warehousing

Lakehouse

Medallion architecture

Stakeholder communication

Herramientas

Python

Descripción del empleo

Harnham is seeking a skilled Data Engineer to help build and scale a modern Microsoft Fabric data platform that will serve as the central source of truth for reporting and analytics. You will work with the Lead Data Engineer and a cross-functional team to deliver data solutions across Bronze, Silver and Gold architectures.

The role involves integrating data from multiple sources, building scalable pipelines with Python, SQL and PySpark, and enabling CI/CD practices within a cloud-first