Data Engineer: Microsoft Fabric Lakehouse Architect

Harnham; Nottingham; Hybrid; GBP 59,000 - 72,000; Full time

Job summary

Harnham in Nottingham is seeking a Data Engineer to join a financial services data transformation programme. You will help build and scale a Microsoft Fabric data platform that becomes the central source of truth for reporting, analytics and decision-making across the business.

Working with the Lead Data Engineer and a data team, you will shape the next phase of the platform, build Bronze/Silver/Gold data architectures, and develop data pipelines with Python, SQL and PySpark.

Qualifications

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

Responsibilities

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

Skills

Microsoft Fabric

Python

PySpark

SQL

ETL/ELT pipelines

Azure

Data warehousing

Lakehouse

Medallion architecture

Stakeholder communication

Job description

Harnham in Nottingham is seeking a Data Engineer to join a financial services data transformation programme. You will help build and scale a Microsoft Fabric data platform that becomes the central source of truth for reporting, analytics and decision-making across the business.

Working with the Lead Data Engineer and a data team, you will shape the next phase of the platform, build Bronze/Silver/Gold data architectures, and develop data pipelines with Python, SQL and PySpark.