Senior Data Engineer, Event Data

📋 Description

• Design, build, and maintain event streaming pipelines ingesting data from client systems and services.
• Develop and operate analytical databases and data models for high-volume event data.
• Write production Elixir and Python services for event processing, transformation, and routing.
• Integrate legacy pipelines with modern streaming infra, designing migration paths to minimize risk.
• Build monitoring, alerting, and observability tooling for data pipelines.
• Define and enforce event schemas, data contracts, and quality standards with producing/consuming teams.

🎯 Requirements

• 6+ years of professional experience in data or backend engineering with a focus on event-driven systems.
• Proficiency in Elixir and/or Python for building application connectors and data pipelines.
• Advanced SQL skills for data modeling, query optimization, and analytics.
• Hands-on experience with columnar/OLAP databases at production scale.
• Experience with stream processing frameworks and brokers such as Flink, Kafka, Pulsar, or Kinesis.
• Experience designing data systems on AWS; GCP experience is a plus.

🎁 Benefits

• Ground-floor opportunity to shape the architecture of a critical data domain.
• Commitment to diversity and an inclusive, equal-opportunity culture.