Position Overview
We are looking for a Data Visualization Engineer with solid expertise in Grafana and solid skills in SQL databases. The candidate will design, develop, and maintain advanced dashboards that support industrial performance and datadriven decisionmaking. The candidate will also help us extend Grafana where needed—up to developing custom plugins when outofthebox features don't suffice.
This role requires a mix of technical ability, data modeling skills, and the ability to translate business needs into clear and effective visual insights.
Key Responsibilities
Dashboard Development (Grafana)
Build advanced, userfriendly dashboards using Grafana.
Create interactive panels, data transformations, variables, alert rules, and dynamic visualizations.
Ensure dashboards are performant, wellstructured, and aligned with operational requirements.
Standardize dashboards and templates for reuse across all Glass sites.
Data Integration & SQL Development
Connect Grafana to various SQL data sources (PostgreSQL, MySQL, etc.) or Ignition Gateway, or API
Write optimized SQL queries, views, and stored procedures to support dashboards.
Ensure data quality, integrity, and alignment with business KPIs.
Grafana Plugin Development (as needed)
~ JavaScript/TypeScript (preferred):

oDevelop panel, data source, or app plugins when required (custom UX, business logic, or connectors).
oIntegrate thirdparty JS libraries with modern build tooling (Webpack/ESBuild), respect CSP, and follow Grafana's plugin lifecycle (signing/versioning).
Performance & Optimization
Optimize dashboard loading time, query execution, and backend resource usage.
Manage large volumes of time-series or industrial data efficiently.
Identify and resolve data inconsistencies or missing data problems.




Collaboration & Support
Work closely with DTI teams (Digital & IT, experts team) and plant process engineers, .
Provide support and training to endusers on Grafana and dashboard best practices.
Document dashboards, data models, and data flows.
Governance & Continuous Improvement
Contribute to the definition of visualization standards and share best practices to plant Grafana developers.
Participate in data visualization strategy and industrial digitalization initiatives.
Evaluate new Grafana plugins, data sources, and improvements in monitoring or analytics setups.
Required Skills
Strong experience with Grafana (dashboards, panels, variables, alerts, plugins).
Proficiency in SQL (query optimization, data modeling, indexing).
Experience with industrial data sources is a plus.
Experience with DevOps practices (Grafana provisioning, Git, CI/CD).
Ability to work with APIs, JSON, and external data connectors.
Good understanding of KPIs, data visualization principles, and user experience.
Autonomy, problemsolving mindset, and attention to detail.
Ability to communicate with both technical and nontechnical stakeholders.
Nice-to-Have Skills
Experience with InfluxDB, Prometheus, Loki, Elastic, or Databricks.
Familiarity with industrial environments, SCADA/MES systems, or OT data.
Knowledge of Python for automation or data processing.
Understanding of monitoring, observability, and timeseries analysis.
Candidate Profile

- 2–5 years of experience in data visualization, data engineering, or monitoring.
- Strong analytical mindset and ability to understand complex datasets.
- Passion for transforming raw data into actionable insights.
- Comfortable working in a fastmoving industrial or digital transformation context.

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