Software Engineer - System Operations - Data Driven Solutions

GEA is one of the world’s largest systems suppliers for the food, beverage and pharmaceutical sectors. Our portfolio includes machinery and plants as well as advanced process technology, components and comprehensive services. Guided by a strong sense of purpose, our more than 18,000 dedicated employees work to enhance the sustainability and efficiency of production processes globally.

Responsibilities / Tasks

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.

Data-Driven Solutions & Observability

• 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.

Core Software Engineering

• 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.

Your Profile / Qualifications

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.

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