Data Engineer (Grafana Embedding/PostgreSQL)

About the Role

We are looking for a Data Engineer to design, build, and productize a Grafana-embedded visualization platform within our Java Spring + React.js industrial CMMS application.

This role goes beyond dashboard creation — you will embed Grafana natively into a commercial on-premise product, architect the PostgreSQL data layer that powers it, and build an Admin simulation engine where operators can tune industrial parameters and define custom calculation formulas in real time.

Core Focus Areas

Grafana Embedding into Java Spring + React.js Web App

• Embed Grafana panels and dashboards into our React.js frontend (iframe, Grafana HTTP API, or native panel integration)
• Implement SSO / token-based authentication between Spring backend and Grafana
• Ensure embedded dashboards respond to app-level context (asset selection, filters, date range)
• Manage Grafana provisioning, datasource configuration, and panel templating programmatically

Admin Simulation Engine & Formula Input

• Build an Admin-only module for parameter simulation: operators adjust industrial inputs (thresholds, load factors, intervals) and preview recalculated results in real time via embedded Grafana charts
• Enable Admins to define and modify calculation formulas directly in the UI — with validation, live preview, and dynamic application to DB queries and Grafana panel data sources
• Implement Role-Based Access Control (RBAC) separating User and Admin capabilities

3. PostgreSQL Query Architecture & Relational Data Modeling

• Design and optimize relational schemas for industrial monitoring data in PostgreSQL
• Build performant query architecture to support dynamic, formula-driven computations and real-time Grafana refresh
• Write and maintain complex SQL queries, stored procedures, and views; integrate PostgreSQL as the primary Grafana datasource

Required Skills

Grafana & Visualization

• Hands-on experience embedding Grafana into web applications (iframe, API, plugin)
• Proficiency with dashboards, panels, variables, and programmatic provisioning
• Experience integrating Grafana with SQL/relational datasources

Backend & Frontend

• Strong experience with Java Spring Framework (Spring Boot, Spring Security)
• Solid React.js skills for building admin UI components and embedding dashboard panels
• Experience implementing RBAC and token/session-based authentication

PostgreSQL & Data

• Strong SQL: complex queries, joins, aggregations, window functions, performance tuning
• Experience designing relational schemas for operational/analytical workloads
• Ability to design query architecture supporting dynamic, formula-driven computations

Work Style

• Strong problem-solving skills and ownership mindset
• Ability to work independently in a remote environment
• Clear communication with both technical and non-technical stakeholders

Nice to Have

• Experience with industrial data, IoT, or monitoring systems
• Experience with streaming technologies (Kafka, MQTT)
• Experience customizing Grafana (plugins, extensions)
• Understanding of open-source licensing (e.g., AGPL)
• Experience in SaaS and/or on-premise software environments
• Exposure to AI-driven analytics or anomaly detection

Benefits

• Fully remote position
• Work with a global SaaS + AI engineering team
• Opportunity to contribute to industrial AI product development
• Performance-based incentives
• Flexible and collaborative working culture

⚠ Important Notes

• Must be available during Korea Standard Time (KST) 9:00–18:00
• Candidates without hands-on Grafana experience will not be considered
• Candidates without PostgreSQL experience will not be considered

About Smarterbuild

Smarterbuild is a South Korea-based software company building next-generation industrial platforms.

We deliver both on-premise CMMS solutions and cloud-based SaaS platforms , helping enterprises transform legacy systems into modern, AI-driven and data-centric solutions.

Our mission is to build scalable industrial software powered by real-time data and AI.

Interview Process

• Resume Screening
• Technical Interview
• Technical Assignment & Final Interview (if required)
• Offer