Senior Cloud Data Engineer

What You Bring

• 6+ years of practical experience building production data pipelines, data modeling and BI tools in the cloud.
• experience with Lakehouse architecture, preferably Databricks, with a strong knowledge of Spark and Open Table formats (Delta and/or Iceberg).
• proficiency with Python (PySpark) and SQL with a solid understanding of software development and automation concepts like CI/CD to build production data and ML pipelines (DataOps/MLOps).
• basic knowledge of cloud foundation services (IAM, networking, storage…), cloud costs management (FinOps) as well as tools to manage cloud infrastructure with IaC (Terraform/OpenTofu, Pulumi, bash scripting…) on Microsoft Azure (our primary cloud service provider) and/or Amazon Web Services, Google Cloud Platform.
• growth mindset and a very proactive attitude for continuous learning and development.
• good presentation and communication skills. Fluency in written and spoken English.