Related skills
azure aws sql python gcp📋 Description
- Design, develop, and maintain scalable real-time data pipelines.
- Build and maintain a robust real-time data backbone for analytics.
- Own the semantic layer with Cube.js for self-serve analytics.
- Integrate Salesforce, CDP, and SCV data for clean flows.
- Lead dbt transformations with tests, docs, and data quality.
- Architect and manage Airflow pipelines with reliability and observability.
🎯 Requirements
- Significant hands-on data engineering with end-to-end delivery.
- Cube.js semantic layer with pre-aggregations, caching, multi-tenancy.
- Integrating Salesforce Marketing Cloud, CDP, and SCV at scale.
- Expert SQL and robust dbt transformation pipelines.
- Production experience with Apache Airflow.
- Comfort across AWS, GCP, or Azure for data ingestion.
🎁 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)
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