Python Developer with Strong Data Engineering Experience
(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 business during an exciting period of growth as an experienced Python Developer with strong Data Engineering skills. Contribute to impactful projects and work 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: Utilise Apache Airflow to efficiently schedule and manage data workflows.
- Data Transformation: Use DBT to convert raw data into actionable insights.
- Containerisation: Deploy and manage applications using Kubernetes for optimal performance and scalability.
- Cloud Infrastructure: Leverage the power of Google Cloud Platform (GCP) for secure and scalable data solutions.
- Collaboration: Partner closely with data analysts, scientists, and other stakeholders to meet diverse data requirements.
Essential Experience:
- Strong Proficiency in Python Programming
- Experience in SQL
- Knowledge of DBT (Data Build Tool)
- Expertise in Google Cloud Platform (GCP), including Vertex and BigQuery
- Strong understanding of Apache Airflow
- Familiarity with Kubernetes
If you're a skilled Python Developer with robust data engineering experience ready to take on a new challenge, please apply below!