We're seeking a Data Platform Engineer to help build and operate our modern, scalable, and domain-oriented Data Platform based on Data Mesh principles. You'll play a crucial role in enabling data product teams across our digital-only bank in Northern Africa to autonomously deliver, manage, and consume high-quality data at scale.

In this role, you'll design and develop scalable data pipelines, lakehouse architectures, and domain-aligned data products. You'll work with cutting-edge technologies like Apache Iceberg, Trino, MinIO, Apache Kafka, Spark, and Airflow. Collaborating with DevOps engineers, you'll deploy infrastructure using Terraform, ArgoCD, and Kubernetes. You'll also implement data contracts, governance rules, and quality checks, while enabling self-service capabilities via Backstage.

Join our collaborative, cross-functional team of DevOps engineers, data engineers, and platform architects. This is an exciting opportunity to influence the design and evolution of an enterprise-grade, self-service data platform. While primarily remote, occasional on-site presence may be required. We're looking for someone with strong Python and SQL skills, experience with data engineering tools, and a solid understanding of distributed systems and streaming technologies.