Design and deliver scalable data solutions that power decision-making across the organization.
Take ownership of key components of the data platform, working hands-on with modern tools and technologies to build reliable, high-quality data pipelines.
Collaborate with teams across the business, contribute to architectural decisions, and support the growth of other engineers through mentorship and knowledge sharing.
Work on meaningful data challenges that have real business impact.
Grow your leadership skills through mentoring and project ownership.
Requirements
Solid Python experience in a data engineering environment
Advanced SQL skills and hands-on experience with Snowflake
Experience designing and running production-grade ETL pipelines at scale
Exposure to cloud platforms such as AWS, Azure, or GCP
Ability to take ownership of work end-to-end, from design through to deployment and monitoring
Experience working with financial or regulated data environments (Nice to Have)
Familiarity with orchestration tools such as Airflow or AWS Step Functions (Nice to Have)
Exposure to streaming or near real-time data pipelines (Nice to Have)
Tech Stack
Airflow
AWS
Azure
Cloud
ETL
Google Cloud Platform
Python
SQL
Benefits
Generous Time Off packages including additional half days with each public holiday in your location.