What you will accomplish together with us:

• Work in a cross-functional, stream-aligned team to deeply understand customer workflows and deliver solutions that empower our users to excellence.
• Translate data analytics and data engineering theory into robust, production-grade software features in our on-prem data analytics products and cloud solutions.
• Design, implement, and maintain microservices and microfrontends that are scalable, observable, and easy to evolve.
• Develop high-performance components and services in Java/Spring Boot, Python, Rust, C++; contribute to frontend applications with React/TypeScript.
• Collaborate on architecture, API contracts, data models, and system integration; ensure reliability, performance, and security.
• Contribute to code reviews, automated testing, CI/CD, and continuous improvement in an agile DevOps environment.
• Engage directly with users and product management to validate assumptions, iterate quickly, and ship value continuously.

What will convince us:

• Bachelor’s degree, Master’s degree or PhD or equivalent in a scientific field.
• Strong foundation in problem solving and software development.
• Hands-on experience in one or many areas:
  • Java/Spring Boot, Python, Rust, Scala/Zio and/or C++ (systems programming, databases, performance, memory management, testing).
  • React and TypeScript (component-driven development, state management, testing
  • Microservices (service boundaries, APIs, observability, resilience patterns).
  • Microfrontends (module federation or similar approaches, composition at scale).
• Proven ability to learn fast and apply new concepts to solve practical software problems.
• Product mindset, you care about outcomes, usability, and customer impact as much as code quality.
• Collaborative communicator who thrives in cross-functional teams.
• Advocate for iterative development and ways of working.
• Fluent in English and Swedish.

We value:

• Experience with data analytics workflows, statistics, modeling, or process analytics.
• Experience in event-driven architectures, streaming, or data pipelines.
• Experience in CI/CD, containerization, and orchestration (Azure DevOps, Docker, Kubernetes).
• Testing strategies for frontends and backends (unit, integration, contract, E2E).
• Experience with cloud platforms and managed services.
• Accessibility, performance profiling or secure coding practices.

We offer:

• Meaningful work on widely used data analytics products that make our world better.
• A learning culture with time and budget for growth; opportunities to explore new tools and techniques.
• Supportive, agile environment with clear product direction and space to innovate.
• Competetive Compensation and Benefits package