Lead Data Engineer

📋 Description

• Own the technical direction of a data engagement, setting standards for pipeline architecture, data
• Lead and technically direct a team of data engineers, allocating work, reviewing designs and code
• Design and evolve data platform architecture on Microsoft Fabric, including data pipelines, Azure
• Set and enforce CI/CD, testing, and operational practices across the engagement's data engineering
• Build professional relationships with key client stakeholders, translating business and data
• Troubleshoot and resolve the most complex issues in live data pipelines, and lead incident response

🎯 Requirements

• Extensive hands-on experience with a modern cloud data platform such as Microsoft Fabric (the
• Deep SQL expertise and a strong grasp of data modelling and architecture (Kimball, data vault
• Strong proficiency in Python and PySpark for batch/ELT data processing at scale.
• Led or technically directed a team of data engineers, setting standards for pipeline design
• Experience owning CI/CD and operational practices for data engineering workflows, ideally using
• Experience working directly with client stakeholders, building trust and challenging where

🎁 Benefits

• Flexible working, including hybrid and remote options.
• Supportive, friendly culture with smart, curious people.
• Opportunities for professional and personal growth.