Senior Data Engineer

- Lead the design, build, and delivery of data platforms and services across the full engineering lifecycle - Own technical delivery of data pipelines, models, and platform components, ensuring solutions are robust, scalable, and maintainable - Design, develop, and deploy ETL/ELT pipelines to ingest, transform, and optimize large-scale datasets - Build and operate event-driven architectures (Kafka) and orchestrate workflows (Airflow) - Apply strong data architecture principles across data lakes, warehouses, and event-driven solutions - Develop and maintain streaming pipelines using technologies such as Kafka - Implement monitoring and observability solutions using tooling such as Prometheus and Grafana - Ensure data quality, validation, and governance processes are built into engineering workflows - Act as a trusted technical advisor to clients and stakeholders (client-facing), translating business requirements into robust engineering solutions - Support delivery planning activities, including estimation, risk identification, and dependency management - Mentor and support other engineers, contributing to a culture of continuous improvement and engineering excellence