Information Technology Engineer

Job DescriptionWe are seeking an experienced Information Technology Engineer to design, develop, and manage enterprise-scale AI-driven data platforms supporting security operations, business intelligence, and operational analytics.The successful candidate will play a key role in building AI-native solutions, developing scalable data architectures, implementing intelligent automation workflows, and delivering production-grade AI and data engineering platforms.ResponsibilitiesDesign,develop, and maintain scalable AI-driven data platforms for security operations, analytics, and business intelligence.Build and deploy AI solutions including LLM-powered applications, AI agents, intelligent assistants, and workflow automation systems.Develop large-scale batch and real-time data pipelines using distributed processing technologies.Architect and optimise enterprise data platforms including data warehouses, data lakes, and streaming systems.Design and implement ETL/ELT pipelines, data models, and data quality frameworks.Develop knowledge graph platforms integrating operational data, metadata, lineage information, and business requirements.Build AI-powered automation solutions for monitoring, diagnostics, incident analysis, and operational improvement.Develop backend services, APIs, and AI application infrastructure using modern software engineering practices.Deploy and manage production systems using cloud platforms, Kubernetes, and distributed computing environments.Monitor, troubleshoot, and optimise system performance, reliability, scalability, and cost efficiency.Collaborate with security, operations, and business teams to deliver scalable technology solutions.Lead technical discussions, provide engineering guidance, and manage end-to-end delivery of complex AI and data projects.Evaluate emerging AI, cloud, and data engineering technologies for enterprise adoption.RequirementsBachelor’s degree or higher in Computer Science, Software Engineering, Data Engineering, Artificial Intelligence, Information Technology, or a related discipline.Minimum 6 years of professional experience in data engineering, big data platforms, distributed systems, or AI engineering roles.Proven experience designing and deploying enterprise-scale data platforms.Strong hands-on experience in AI/LLM application development and integration.Experience with MCP (Model Context Protocol) server development and AI agent workflow implementation.Experience in LLM prompt engineering, tool integration, skill chaining, and AI workflow automation.Experience developing AI assistants, chatbots, and natural language query systems.Experience with knowledge graphs, graph-based search, and intelligent Q&A solutions.Strong understanding of AIOps concepts including automated monitoring, diagnostics, alerting, and remediation workflows.Strong experience with big data technologies such as Apache Spark, Apache Flink, Kafka, Hadoop, HDFS, MapReduce, and Presto/Trino.Experience designing and maintaining enterprise ETL/ELT pipelines and data warehouse solutions.Knowledge of data modelling concepts including ODS, DWD, DWS, and ADS layered architecture.Experience with technologies such as Hive, Apache Iceberg, Apache Paimon, HBase, MySQL, Elasticsearch, and BigQuery.Strong programming skills in Python, Scala, Java, SQL, and Shell scripting.Experience developing RESTful APIs and integrating enterprise applications.Experience with Google Cloud Platform technologies such as BigQuery, GCS, and Pub/Sub, or equivalent cloud platforms.Experience with Kubernetes, containerised applications, and production deployments.Experience with workflow orchestration tools such as Airflow.Knowledge of data validation, data quality monitoring, anomaly detection, and automated testing frameworks.Strong understanding of distributed system architecture, scalability, reliability, and performance optimisation.Strong analytical, troubleshooting, and problem-solving skills.Excellent communication skills with the ability to collaborate across engineering, security, operations, and business teams.Experience working in enterprise security, surveillance, defence, intelligence, or critical infrastructure environments.Knowledge of data security, access control, governance, and confidentiality practices.Ability to adapt quickly to evolving AI technologies and changing business requirements.