Hybrid Software Engineer – Data Analytics

Posted last week

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About the role

  • Software Engineer developing and supporting data analytics solutions for pharmaceutical and biotech industry. Working in a hybrid environment with responsibilities in software feature development and user engagement.

Responsibilities

  • Work in a cross-functional, streamlined 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

Requirements

  • Master’s degree or PhD or equivalent in a scientific field
  • 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).
  • 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
  • Proven ability to learn fast and apply new concepts to solve practical software problems
  • Collaborative communicator who thrives in cross-functional teams
  • Fluent in English and Swedish

Benefits

  • Personal and Professional Development: Mentoring, leadership programs, internal seminar offerings
  • Work-life Balance: Remote options, flexible work schedules
  • Making an impact right from the start: Comprehensive onboarding, including a virtual online platform – even before joining
  • Welcoming Culture: Mutual support, team-spirit and international collaboration; communities on numerous topics such as coaching, agile working and businesswomen network
  • Attractive Working Conditions
  • 30 days annual leave
  • Free parking on site
  • Free hot and cold drinks
  • Health & Wellbeing
  • Health Insurance
  • Wellbeing benefit of 3500 SEK a year
  • Planning Ahead For Your Future
  • Company pension
  • Income protection for pension

Job title

Software Engineer – Data Analytics

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Postgraduate Degree

Location requirements

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