Senior Data Engineer

📋 Description Design, develop, and maintain scalable data pipelines and infrastructure that power real-time Take ownership of our semantic layer using Cube.js, enabling reliable, self-serve analytics across Integrate and unify data from Salesforce, CDP, and SCV sources, ensuring clean, consistent data Lead the development of transformation workflows using dbt, with a strong emphasis on testing Architect and manage pipeline orchestration via Apache Airflow, ensuring reliability and Monitor and optimise pipeline performance for low-latency, high-throughput use cases. 🎯 Requirements Significant hands-on experience in data engineering, with a proven track record of leading and Great understanding of semantic layers such as Cube.js; built and maintained semantic layers and Strong experience integrating Salesforce Marketing Cloud, CDP, and Single Customer View (SCV) data Expert-level SQL and proven experience building robust transformation pipelines with dbt. Solid experience orchestrating workflows with Apache Airflow in production environments. Comfortable working across cloud platforms (AWS, GCP, or Azure) for data ingestion, storage, and 🎁 Benefits Private Health Care (Bupa) Hybrid Working (3 days in office) Travel Insurance Competitive Base Salary Company Bonus Scheme Paid for AI Subscription (Claude / ChatGPT / Gemini)