Senior Data Engineer

Key details

• Design, develop, and maintain scalable data pipelines and infrastructure that power real-time analytics and reporting
• Take ownership of our semantic layer using Cube.js, enabling reliable, self-serve analytics across the organisation
• Integrate and unify data from Salesforce, CDP, and SCV sources, ensuring clean, consistent data flow across marketing and customer data platforms
• Lead the development of transformation workflows using dbt, with a strong emphasis on testing, documentation, and data quality
• Architect and manage pipeline orchestration via Apache Airflow, ensuring reliability and observability at every stage
• Monitor and optimise pipeline performance for low-latency, high-throughput use cases
• Collaborate closely with Data Architect, marketing analysts, and business stakeholders to ensure data infrastructure directly supports business objectives
• Mentor and support more junior engineers, helping to raise the bar across the team
• Company mission
• Information not specified