Designing and improving data ingestion, streaming, and event processing (batch and real-time)
Refactoring and enhancing existing services, pipelines, and infrastructure
Implementing robust data collection, transformation, and storage solutions
Operating and improving cloud-based platforms (primarily AWS)
Improving observability, reliability, and operational tooling for production systems
Contributing to best practices around CI/CD, testing, code quality, and documentation
Collaborating with software engineers, data engineers, and analysts to deliver reliable data products

Experience with data engineering architectures for ingestion and transformation
Several years of hands-on experience building and operating production systems
Experience working with cloud-based platforms, preferably AWS
Solid understanding of databases (warehouses, OLTP/OLAP concepts, query performance)
Experience with event-driven or streaming architectures (Kafka or similar)
Strong understanding of reliability, observability, and production operations
Are self-driven and comfortable making technical decisions independently
Can quickly understand and work within an existing codebase and architecture
Value clean code, testing, automation, and pragmatic engineering practices
Communicate clearly and professionally in English

Opportunity to impact a service with millions of end users from all around the world
Flexible and social work environment with free beverages, fruit, and snacks
Modern office in the heart of beautiful downtown Stockholm, Sweden
Being part of a diverse team with +30 nationalities and 6 continents represented with English being our main language

Senior Data Engineer

Key skills