Senior Engineer, Data Engineering

Senior Data Engineer Bristol 6-month contract Paying up to £80p/h (Outside IR35) *** Please note that due to the nature of the work you must hold or be eligible to obtain DV level security clearance *** Responsibilities : Design, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. Implement data ingestion, transformation, and integration processes, ensuring data quality and security. Collaborate with data architects and security teams to ensure compliance with security policies and data governance standards. Manage and monitor large-scale data flows in real-time, ensuring system performance, reliability, and data integrity. Develop robust data models to support analytics and reporting within secure environments. Perform troubleshooting, debugging, and performance tuning of data pipelines and the Elastic Stack. Build dashboards and visualizations in Kibana to enable data-driven decision-making. Ensure high availability and disaster recovery for data systems, implementing appropriate backup and replication strategies. Document data architecture, workflows, and security protocols to ensure smooth operational handover and audit readiness. Experience required: Experience working as a Data Engineer in secure or regulated environments. Expertise in the Elastic Stack (Elasticsearch, Logstash, Kibana) for data ingestion, transformation, indexing, and visualization. Strong experience with Apache NiFi for building and managing complex data flows and integration processes. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK for data infrastructure Knowledge of security practices for handling sensitive data, including encryption, anonymization, and access control. Familiarity with data governance, data quality management, and compliance standards in secure environments. Experience in managing large-scale, real-time data pipelines and ensuring their performance and reliability.