
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 は、食品および飲料加工業のみならず、その他の幅広い加工業において世界屈指のサプライヤです。60 カ以上の国の約 18,000 人の従業員が、GEA の成功に大きく貢献しています。ぜひ、その仲間に加わってください! 当社は、興味深く、やりがいのある任務、国際的なチームでの前向きな職場環境、そして国際企業における個人の発展と成長の機会を提供します。

GEAでのキャリア
GEAは、トップ・エンプロイヤー・インスティテュート(Top Employers Institute)からトップ・エンプロイヤーとして認定されています。「リーダーシップ」、「倫理と誠実さ」、「持続可能性」で高いスコアを獲得しています。

GEAでのキャリア
GEAはグローバルな産業エンジニアリング企業であり、食品、飲料、医薬品分野をはじめとする世界最大級のシステムサプライヤーのひとつです。GEAは、世界中でエキサイティングで多様なトレーニングとキャリアの機会を提供しています。

GEAでのキャリア
GEAには140年を超える伝統があります。現在、当社は18,000人以上の従業員を擁し、回復力のある顧客企業で事業を展開し、150カ国以上で取引を行っています。