Data Engineer Consultant Senior

About this role

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Skills you'll use

What you'll do

• UK & Ireland's premier AWS, Microsoft & Oracle partner  
• 3300+ strong, €350/£300m revenue business  
• 10+ years as a Great Place to Work in Ireland & UK  
• Best Workplace for Women in the UK & Ireland by GPTW  
• Best Workplace for Wellbeing in the UK by GPTW  
• 5+ Years as a Data Engineer Consultant Senior, you will design, build and support modern data and analytics solutions for clients. Working with solution architects, principal consultants and multidisciplinary delivery teams. You will translate business needs into secure, scalable, maintainable and supportable Microsoft Fabric and Azure solutions. You will take ownership of substantial engineering workstreams from design through deployment and production support, while mentoring colleagues and promoting good engineering practice. 
• Translate business requirements into technical designs, delivery estimates, implementation tasks and acceptance criteria. 
• Design, build and support Microsoft Fabric solutions using appropriate lakehouse, warehouse, orchestration and semantic-modelling patterns. 

Who can apply

• Develop robust ingestion, ETL/ELT and integration pipelines using SQL, Python or PySpark as appropriate. 
• Design and maintain dimensional and analytical data models, including star schemas, facts, dimensions and Power BI semantic models. 
• Implement automated data-quality, validation, reconciliation and schema-change controls. 
• Contribute to architecture decisions and lead detailed design sessions for assigned components or workstreams. 
• Apply security and governance controls including least privilege, classification, lineage, metadata, retention and auditability. 
• Use source control, peer review, automated testing, CI/CD and repeatable deployment practices. 
• Create and maintain technical documentation including data flows, architecture views, configuration, support procedures and runbooks. 
• Estimate and plan engineering work, manage dependencies and communicate delivery risks within Agile teams. 

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