REQUIREMENTS

• Minimum of 5 years’ experience as a Senior Data Engineer in Azure cloud environments
• Strong hands-on skills with ADF, Data Lake, Power BI, and Azure DevOps
• Demonstrated ability to architect scalable, secure, and governed data platforms
• Solid understanding of data governance and Data Fabric principles
• Experience working with data modelling, transformations, and performance optimisation
• Strong problem-solving skills
• Solid communication and stakeholder engagement skills

ABOUT THE ROLE

FDM is a global business and technology consultancy seeking a Senior Data Engineer to work for our client within the transport sector. This is initially a 3-month contract with the potential to extend and will be a hybrid role based in Manchester.
Our client is seeking an experienced Senior Data Engineer with a strong background in Azure Data Services and Data Fabric to support the design, build, and optimisation of enterprise-grade data solutions. The role requires hands-on expertise in developing advanced data pipelines, architecting data lake structures, aligning governance frameworks, and enabling robust reporting capabilities.
The ideal candidate will be someone who can take end-to-end ownership of data engineering initiatives and deliver solutions aligned with enterprise data architecture and governance principles.

RESPONSIBILITIES

• Design and build complex ETL/ELT pipelines from scratch, integrating multiple data sources while implementing advanced transformations using Mapping Data Flows
• Optimise performance and manage dependencies, ensuring robust monitoring/debugging of pipelines
• Architect and implement hierarchical data storage structures with partitioning and lifecycle policies
• Define and apply advanced RBAC and ACL-based security models while enabling integration with Synapse, Databricks, and serverless SQL pools for analytics
• Deliver end-to-end reporting solutions, including data modelling in Power Query and DAX using Power BI to build interactive dashboards and implement row-level security (RLS)
• Publish, manage and optimise reports in the Power BI service
• Develop reusable, scalable data transformation scripts and pipelines and optimise Spark jobs for large-scale distributed data processing
• Implement, and handover CI/CD pipelines for data workflows using Azure DevOps while enforcing Git based version control best practices and automating the testing as well as deployment of data engineering solutions
• Apply Data Fabric principles to ensure seamless integration, discoverability, and governance across diverse data sources
• Contribute to the enterprise-wide data fabric strategy by maintaining the implementation and adoption of a unified data platform for analytics, AI, and regulatory requirements