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 you've built and maintained semantic layers
• 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)