Location: New York City (Hybrid Working)
About Our Client: Our client is a dynamic AI start-up in the transport sector, fresh off a successful Series A funding round. Based in Manhattan, they are redefining the future of AI-driven transportation solutions. If you’re passionate about data and want to be part of a cutting-edge team, this is the place for you.
Role Overview: They are seeking a skilled Data Engineer to help build and optimize data pipelines that power AI models transforming the transport industry. You’ll collaborate with Data Scientists and Engineers to ensure efficient data flow and integration.
Key Responsibilities:
- Develop and maintain scalable data pipelines and ETL processes.
- Collaborate on data modeling and integration with AI systems.
- Optimize data storage for large-scale processing.
- Ensure data quality, consistency, and security.
- Monitor and improve pipeline performance.
Requirements:
- 5+ years as a Data Engineer or similar role.
- Strong Python skills, with experience in Django.
- Proficient in SQL and relational databases (e.g., PostgreSQL).
- Experience with cloud platforms (AWS, GCP) and Docker/Kubernetes.
- Knowledge of big data tools (e.g., Hadoop, Spark) is a plus.
- Strong problem-solving and communication skills.
What They Offer:
- Competitive salary and equity.
- Hybrid working model.
- Opportunity to impact the future of AI in transport.
- Vibrant office in Manhattan