Build and maintain data pipelines and platform components that support SoSafe’s products, analytics, and AI initiatives.
Implement ingestion and serving workflows on AWS, Airflow, and event-driven patterns.
Contribute to platform reliability by working on monitoring, alerting, CI/CD improvements, access management, and infrastructure changes (Terraform).
Apply existing architecture and standards while helping improve data quality and developer experience over time.
Collaborate with Analytics, Product Engineering, and ML teams to deliver reliable datasets, event schemas, and data contracts.
Support internal teams by troubleshooting pipelines, resolving data issues, and operationalizing new use cases.
Participate in code reviews and technical discussions and document solutions for long-term maintainability.

4+ years of experience building and operating production data pipelines (AWS preferred).
Strong hands-on skills in Python and SQL, with experience using tools such as Airflow, dbt, and Kafka
Practical exposure to infrastructure as code (Terraform), CI/CD, and operating data systems in production.
Comfortable working in a shared platform environment: following standards, handling operational work, and delivering incrementally.
Experience with data quality and basic observability practices.
Able to take ownership of tasks end to end — implementation, validation, and documentation.
Clear communicator who works well with engineers, analysts, and product partners.
Execution-focused, reliable, and motivated to grow into broader platform responsibilities.
Fluent in English.

Work/Life balance: Flexible hours, 33 vacation days
Wellbeing and financial support: Access to Open Up, corporate discounts
Connection & community: Virtual events, collaborative team activities, and opportunities for local meet-ups
And the list goes on: Tech equipment, referral bonuses, dog-friendly HQ

AWS Data Platform Engineer

Key skills