You will design, construct, and maintain efficient and reliable data pipelines using Python/Go/Azure Data Factory, capable of supporting both streaming and batch data processing across structured, semi-structured, and unstructured data in on-premises and Azure environments.
You will be working at Stanley House, a service which offers a multidisciplinary approach to its long term care provision and provides the specialised care and expert therapeutic intervention for those effected by the majority of known Neurological Conditions.
You will work within the standards provided in the OFG Speech and Language Therapy Ways of Working.
You will be given responsibility for holding a Speech and Language therapy caseload, with the full support of your designated clinical supervisor and site lead, also contributing to staff training and consultation as required This post would suit a resilient, creative and enthusiastic individual.
You will work closely with our front-end developers, data engineers, and product managers to build scalable and efficient applications that meet the needs of our users. Your role will involve designing APIs, managing databases, and ensuring the security and performance of our services.
You must hold a valid Elastic Certified Analyst certification, with full working knowledge of the competencies it covers, including anomaly detection, dashboard tuning, and timeline analysis. Data Ingestion & Log Pipeline Engineering: Build, manage and optimise complex Logstash pipelines, utilising a wide range of plugins to handle diverse log formats, transform data, and enrich security telemetry.