Data Platform Engineer

📋 Description

• Own end-to-end real-time data pipeline across the analytics warehouse.
• Design/build scalable data pipelines with AWS Glue (PySpark).
• Optimize the ClickHouse warehouse for sub-second queries.
• Implement data contracts; onboarding a new operator is a config change.
• Build a feature-serving layer delivering pre-computed features to AI agents.
• Collaborate with data scientists, BI, and infra teams.

🎯 Requirements

• 3+ years building and operating production data pipelines.
• Expertise in Apache Kafka (Amazon MSK).
• Strong SQL and warehouse engineering (ClickHouse preferred).
• PySpark/Spark Streaming; AWS Glue, Airflow, NiFi a strong plus.
• Data modelling for multi-tenant schemas with data contracts governance.
• CI/CD and infrastructure-as-code (CloudFormation, Terraform, CDK); containers (ECS Fargate or Kubernetes).

🎁 Benefits

• Fully remote with asynchronous-first communication.
• EU time zone overlap is preferred.
• Small, high-autonomy Data team; report to Head of Data.
• Architecture decisions documented; design reviews; domain ownership.
• Culture: mature, mission-driven, low-ego.