Senior Data Engineer; Fabric

FGH Business Centre 66-70 Vicar Ln, Bradford BD1 5AJ

Hybrid flexibility: 2 office days per week

At FGH, data is not a reporting afterthought - it is a strategic enabler for growth, efficiency, and AI-driven decision-making. As a Senior Data Engineer, you will play a pivotal role in transforming how data is designed, delivered, and consumed across a digital retail organisation, shaping and ope rationalising our modern data and AI platform, working at the intersection of architecture, engineering, and innovation.

This role offers the opportunity to build at scale, influence platform direction, and directly enable advanced analytics and AI use cases across the business.

You’ll work closely with our Data Architect, BI teams, and cross functional data product owners to build a next generation data platform using Microsoft Fabric, Lakehouse architecture.

• You will be working with the FGH business to design & build end-to-end ETL data solutions using Microsoft Fabric as well as real-time data processing.
• You will design and build data pipelines using Data Flows (Gen2) and Fabric Notebooks (Spark SQL & Python) to ingest and transform data from on-prem and third-party data solutions.
• Design and develop Data Lakehouse’s using Medallion architecture standards.
• Implement Semantic Layers using Star Schema Modelling (Kimball) & DAX in collaboration with the BI Team/Lead.
• Deployment of versioned artifacts using Dev Ops CI/CD.
• Support data product teams with reusable components and infrastructure.
• Optimise data storage and retrieval for analytics, AI, and operational use cases.

• Embed data quality, lineage, and observability into all pipelines.
• Support metadata management and data cataloguing initiatives.
• Ensure compliance with data protection standards (e.g., GDPR, ISO 27001).
• Collaborate with Info Sec and Risk teams to implement secure data handling practices.

• Integrate data from internal and third-party sources (e.g., CRM, ERP, APIs).
• Ensure consistency, interoperability, and performance across data flows.
• Monitor and troubleshoot pipeline health and data reliability.
• Support real-time and batch processing environments.
• Apply engineering principles that support modularity, scalability, and resilience.
• Automate deployment, testing, and monitoring of data pipelines.
• Contribute to platform sustainability and energy efficiency.
• Align engineering practices with enterprise architecture and business goals.

• Collaborate with data architects, analysts, and business stakeholders.
• Engage with platform teams to ensure infrastructure readiness.
• Support data product teams with technical enablement and onboarding.
• Evaluate and manage third-party data tools and services.

• Stay current with emerging data engineering tools and cloud services.
• Pursue relevant certifications and continuous learning (Fabric Data Engineer - DP-700).
• Contribute to knowledge sharing and mentoring within the data community.
• Promote a culture of data reliability, automation, and innovation.

• Able to commute to Bradford City Centre
• A relevant computer degree or Microsoft Certification, e.g. DP-700:
  Designing and Implementing a Data Analytics Solution Using Microsoft Fabric
• Evidence of formal training, certification or several years of experience in SQL, Python, or Spark. Familiarity with data mapping frameworks.

• Data Pipeline Development:
  Proven experience designing and building scalable ETL/ELT pipelines.
• Data Platform:
  Direct experience working with the Microsoft Fabric Platform (Data flow Gen2, Notebooks & Semantic Models) and storage solutions (e.g., Data Lake, Delta Lake).
• Programming & Scripting:
  Proficiency in SQL and Python for data manipulation, transformation, and automation; familiarity with Spark-SQL
• Data Integration:
  Experience integrating structured and unstructured data from diverse sources including APIs, flat files, databases, and third-party platforms (e.g., CRM, ERP).
• Data Observability & Quality:
  Ability to implement monitoring, logging, and alerting for data pipelines.
• Abi…