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)
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
Marketing Analyst focusing on data analytics to support sales and marketing efforts in insurance products. Conducting analysis, developing reports, and supporting distribution objectives.
Business Data Analyst working within Revenue Operations. Leveraging data insights and analysis to optimize product decisions and improve user experiences.
Data Analyst building automated financial systems at Tabby, a leading FinTech company. Responsible for ensuring accounting accuracy and driving financial automation across various products.
Senior Manager for Payments Data Analytics at FIS analyzing revenue opportunities and presenting insights. Collaborating with technology and data teams to enhance financial services.
Data Analytics Advisor responsible for delivering high - quality analytics and reporting for Cigna's customer experience team. Collaborating with operational leaders and stakeholders to inform data - driven decisions.
Student Assistant at Novo Nordisk maintaining data tools and analyzing performance across global manufacturing sites. Seeking MSc students with an analytical mindset and data - driven insights.
Data Analyst supporting the Business Intelligence & Data Insights team at CBIZ. Involves data analysis, quality assurance, and dashboard development using Alteryx and Power BI.
Consultant Data Analyst handling reporting automation projects at Primexis. Working on data - driven financial decisions with modern techniques and tools.