Leads a data engineering team and supervises one Data Engineer while designing, maintaining, and optimizing reliable data pipelines and infrastructure. The role integrates internal and external data sources, supports SaaS analytics dashboards and connected platforms, improves data-store performance, and ensures infrastructure quality, security, and uptime. Requires proficiency in Python, databases, distributed processing, orchestration, AWS, and machine learning.

Adelaide Metrics is inviting open applications for various roles in a fast-growing measurement company, emphasizing curiosity and drive. Candidates may submit their resumes and express areas of interest, as the team regularly reviews applications for potential future fits.