Position: Data Engineer
Skills: Python production-level coding, SQL, DBT, Airflow, GCP, Kubernetes
Rate: £700-£750 per day via Umbrella
Location: Mostly remote (1 day a month in Central London)
Join a leading global ecommerce company during an exciting growth phase as a Data Engineer. Contribute to impactful projects and collaborate with a dynamic team dedicated to innovation and excellence.
Key Responsibilities:
- Data Pipeline Development: Design and implement robust data pipelines using Python and SQL.
- Workflow Orchestration: Efficiently schedule and manage data workflows with Apache Airflow.
- Data Transformation: Convert raw data into actionable insights using DBT.
- Containerisation: Deploy and manage applications for optimal performance and scalability with Kubernetes.
- Cloud Infrastructure: Leverage Google Cloud Platform (GCP) for secure and scalable data solutions.
- Collaboration: Work closely with data analysts, scientists, and other stakeholders to meet data requirements.
Essential Experience:
- Strong proficiency in Python programming with the ability to write production-level code.
- Solid experience with SQL.
- Extensive experience with DBT (Data Build Tool).
- Expertise in Google Cloud Platform, including Vertex AI and BigQuery.
- Strong understanding of Apache Airflow.
- Familiarity with Kubernetes.
Apply below, or email your CV to