You will be responsible for improving how large -scale timeseries data is stored, processed, and visualized. The role combines deep backend engineering with frontend dashboard performance optimization and offers a high degree of autonomy in shaping scalable and sustainable system growth.
Key responsibilities include optimizing long -term timeseries data storage for efficiency and performance, strengthening data security through improved backup and schema deployment strategies, and improving or rebuilding dashboards to meet performance benchmarks. You will also assess future database and dashboard resource requirements and define measures to ensure scalable and efficient system performance.
Relevant degree in Computer Science, Data Engineering, or equivalent practical experience.
Experience with PostgreSQL, ideally with TimescaleDB / Tiger Data extension
Building and optimizing Grafana dashboards
Fluent in English
Experience with Docker and OpenStack is a plus
Start: asap
Duration: 1 -2 months
Workload: 60 - 100%
Location: Glattbrugg preferred, remote possible
Salary: 40+ CHF/h
Ethjuniors
ETH juniors - Pioneering the fusion of academic innovation and industry challenges. Dive into our world of collaborative projects and professional opportunities for students and businesses alike.
Read more about the companyCopyright © 2026 Grabjobs Pte.Ltd. All Rights Reserved.