We are looking for a Senior Platform Engineer with Data Engineering skills, who can quickly understand existing systems, work independently, and deliver value from day one. You will play a key role in evolving and improving our data platform, working closely with other engineers and stakeholders. You will be part of a data engineering team responsible for designing, building, and operating scalable data solutions in AWS. The work includes both hands‑on development and architectural decision‑making.
What you’ll do
- Building and maintaining backend services for high-volume data processing and APIs
- 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
Current tech stack
- Backend services: C++ and Python
- Cloud & Data Platform: AWS (S3, Glue/Spark, Airflow/MWAA, Athena, MSK/Kafka, Lambda)
- Streaming & Messaging: Kafka (or similar), RabbitMQ
- Databases & Storage: SQL/NoSQL systems (MySQL/MariaDB/Postgres, Redis, DynamoDB, data lake/warehouse patterns)
- DevOps & Platform: Docker, Kubernetes/EKS, Terraform
- Engineering practices: Infrastructure as Code, CI/CD, linting, unit tests, integration tests
About you
- Has several years of hands‑on experience building and operating production systems
- Strong experience with software development in C++, Python, Go, Rust, or similar
- Strong experience designing and operating production backend systems
- Experience with data engineering architectures for ingestion and transformation
- 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
We also see that you…
- 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
Bonus points
- Experience with Machine Learning concepts and data platforms supporting ML workloads
- Experience working with high‑volume real‑time telemetry or tracking data
- Domain knowledge in aviation data standards (e.g., ADS‑B) or similar
Benefits
- 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 more than 30 nationalities and 6 continents represented, with English being the main language