Senior Data Engineer

📋 Description Design, build, and evolve core data platform infra (query engines, orchestration, warehousing, cataloging). Own lakehouse infrastructure as code using Terraform and Ansible on Kubernetes. Build and maintain low-latency streaming and CDC pipelines, plus batch ingestion to Iceberg. Develop and scale BI data access for downstream teams and agents. Enforce reliability with monitoring, alerting, on-call rotations, runbooks, and SLAs. Partner with DevOps, Analytics Engineering, and others to close infra gaps and support new data requirements. 🎯 Requirements 5+ years in Data Engineering; 2+ years building scalable, low-latency data platforms handling >100M events/day. Hands-on Kubernetes data infra with Docker and Helm. Production IaC: Terraform, Ansible, ArgoCD (or equivalents). Deep knowledge of distributed systems; hands-on with Trino or Presto. Experience with Apache Iceberg and object storage. Streaming and CDC: Kafka/Redpanda/Debezium. 🎁 Benefits Competitive salary and stock options. Health benefits. New Hire Home-Office Setup: USD 500. Monthly stipend: USD 150 via Brex Card.