Senior Data Engineer

• Design and develop scalable ETL and ELT pipelines
• Build and optimise data models supporting analytics and AI workloads
• Develop and maintain cloud-native data solutions
• Support CI/CD implementation and deployment processes
• Integrate AI and machine learning outputs into production environments
• Implement monitoring, governance, and operational best practices
• Collaborate closely with Product, Engineering, and Data Science teams
• Mentor colleagues and contribute to engineering standards

• Strong commercial Data Engineering experience
• Advanced SQL and Python skills
• Experience designing modern cloud data architectures
• Strong understanding of dimensional modelling and data warehousing
• Exposure to Azure, AWS, and GCP environments
• Familiarity with CI/CD pipelines and DevOps practices
• Knowledge of DataOps and engineering best practices
• Strong problem-solving and stakeholder engagement skills

• Competitive salary and benefits package
• Opportunity to work on innovative AI-enabled products
• Exposure to enterprise-scale data challenges
• Collaborative engineering culture
• Professional development support
• Clear progression opportunities within a growing business

They are an established AI-powered SaaS business at the forefront of data and AI innovation. Their platform helps organisations transform complex datasets into actionable intelligence, supporting better decision-making and stronger business outcomes. Continued growth and investment mean they are expanding their engineering team to support an exciting product roadmap.