Vecten is an AI-native technology partner specializing in building proprietary data infrastructure and deploying AI solutions for private capital and healthcare sectors. We are looking for a Senior Data Engineer to join our team and serve as the engineering backbone for a major US sports insurance client, helping them transition to a modern, Azure-based data platform.
Key responsibilities
- Design, build, and operate data pipelines in Airflow across Azure and Snowflake to replace legacy ETL systems.
- Productionize ML and scoring workflows from Jupyter notebooks into reliable, scheduled pipelines.
- Manage third-party data feeds and internal application databases while building reporting outputs for partners.
- Own DevOps for the data platform, including Azure infrastructure, IaC, CI/CD, and monitoring.
- Support cloud migration efforts and infrastructure cost optimization.
Requirements
- Senior-level data engineering expertise with strong Python and SQL skills.
- Solid hands-on experience with Azure data services and production-grade Snowflake environments.
- Proven DevOps skills including Docker, CI/CD, and infrastructure-as-code tools like Terraform.
- An AI-native mindset, utilizing modern tools to deliver solutions efficiently.
- Self-directed approach with the ability to scope ambiguous requests and deliver without heavy oversight.
- Fluent English and proactive communication skills for working with stakeholders.
What we offer
- Total autonomy in a remote-first environment with no micromanagement.
- Access to an unrestricted AI stack and premium gear, including paid licenses for development tools.
- Direct impact through collaboration with client leadership and our internal executive team.
- A frontier engineering culture focused on shipping systems that drive real business decisions.