
We are looking for a forward-thinking Software Engineer focused on Data-Driven Solutions to join our SystemOperations team. In this role, you will build and evolve the foundations of our device and service monitoring ecosystem, develop analytics capabilities, and enable data-informed decision-making across our OT environment.
Over time, this role will expand toward AI-enhanced insights, anomaly detection, and predictive capabilities, making it ideal for candidates motivated by long-term data innovation.
Your work will shape how we collect, structure, analyze, and visualize operational data to improve system reliability, detect issues earlier, and provide actionable insights for engineering and operational teams.
Design and maintain monitoring capabilities for devices, services, and system metrics, including data ingestion pipelines, time-series structures, dashboards, and alerting.
Implement robust event and action logging, audit trails, and configuration/change-history tracking aligned with IEC-62443 requirements.
Analyze operational data to identify trends, support engineering decisions, and strengthen data-driven processes across the SystemOperations ecosystem.
Architect and evolve the data platform to be ML-ready, enabling future capabilities such as anomaly detection and predictive analytics.
Develop and maintain backend services using NestJS and contribute to analytics-related frontend components in Angular.
Integrate new devices and services, ensuring high-quality data capture and consistent observability.
Collaborate cross-functionally to define data requirements, ensure data quality, and resolve performance or reliability issues.
Essential
Professional experience as a Software Engineer with strong interest or experience in data-focused development.
Solid understanding of observability concepts, metrics collection, and logging frameworks.
Experience with SQL databases and ideally time-series or analytics databases.
Proficiency in backend development using NestJS (or comparable Node.js frameworks).
Familiarity with Angular or willingness to contribute to frontend dashboards.
Understanding of event-driven communication (e.g., MQTT, Kafka, or similar).
Knowledge of or willingness to learn security standards, especially IEC-62443-3-3 and IEC-62443-4-1.
Strong analytical thinking and ability to translate raw data into actionable insights.
Excellent communication and teamwork skills.
Nice to Have
Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK/EFK, InfluxDB).
Exposure to data engineering concepts such as ETL/ELT workflows, stream processing, and data modeling.
Experience working in OT environments, with industrial device data or operational telemetry.
Early hands-on experience with AI/ML concepts (e.g., basic modeling, training workflows, anomaly detection).
Familiarity with audit and traceability requirements in regulated environments.
Location & Work Model
This position is based in Belfast and operates under a hybrid working model, requiring regular on-site collaboration.
Applicants must have the right to work in the UK at the time of application. Please note that visa sponsorship is not available for this role.
GEA 是食品和饮料加工行业最大的供应商之一,它还为许多其他加工行业提供服务。超过 60 个国家/地区的大约 18,000 名员工都为 GEA 的成功做出了重要贡献 – 快来加入我们!我们提供充满趣味和挑战的任务、与国际团队共处的积极工作环境以及在全球性公司成长和发展的个人机遇。

GEA 职业
GEA 获得欧洲杰出雇主调研机构认证为杰出雇主。我们在领导力、道德与诚信以及可持续发展方面表现优异。

GEA 职业
我们是一家全球工业工程公司,也是世界上食品、饮料和制药等行业最大的系统供应商之一。GEA 在世界各地提供令人振奋且多样化的培训和职业机会。

GEA 职业
GEA 的历史可以追溯到 140 多年前。如今,我们在富有弹性的客户行业开展业务,拥有超过 18,000 名敬业的员工,并与 150 多个国家/地区开展业务。