Back-End Engineer

About the Company

DataHow AG is a spin-off company of ETH Zurich founded in 2017. Our mission is to bring Industry 4.0 to the chemical, pharmaceutical, and biopharmaceutical sectors. We develop and commercialise predictive software that integrates sensor signals, process models, machine learning, reinforcement learning, historical data, and process engineering knowledge. Our technology accelerates process development, transfer, manufacturing, and risk & quality management—already trusted by 8 of the world’s 20 largest pharma companies.

About the Role

• Customer centric development: Design and build backend systems that prioritise customer success and great user experiences.
• Cross-functional collaboration: Work closely with Product, Frontend, and Machine Learning teams to design integrated solutions. Architect and implement well documented RESTful APIs that enable seamless communication and build production-ready backend services.
• Adaptive problem-solving: Embrace experimentation and rapid iteration, adjusting technical approaches based on real world results and evolving customer requirements.
• Domain modeling: Apply clean architecture and domain driven design principles to model and encapsulate business logic effectively, fostering a robust and adaptable software ecosystem.
• Kubernetes integration: Collaborate with our infrastructure engineers to deploy, manage, and scale backend services using Kubernetes, ensuring high availability, fault tolerance, and efficient resource utilization within a cloud-native environment.
• Code reviews: Take part in code reviews, providing constructive feedback and ensuring best practices are followed.
• Security: Contribute to the security of our platform by implementing secure coding practices and participating in security reviews.

Key Technologies

• Languages: Go, Rust, Python, Typescript
• Infrastructure: Kubernetes, Microsoft Azure
• Databases: SQL, MongoDB, Redis
• Architecture: RESTful APIs, Microservices, Domain Driven Design

Required qualifications

• A strong university degree (minimum BSc or equivalent) in computer science or software engineering.
• 3-5 Years of experience in backend or full stack development
• Experience with a modern programming language, preferably at least one of Go, Rust, Python, Typescript
• Strong English communication skills, as well as strong teamwork and collaboration skills.

This role is a good fit for you if

• You thrive in collaborative environments.
• You bring pragmatism, composure, and positivity to interactions with other teams and people in the company.
• You’re comfortable creating solutions for our current challenges that are also adaptable for future needs.
• You are a code polyglot and not afraid of reviewing and contributing code outside of your competence field.
• You believe in structured approaches such as Domain Driven Design and Clean Architecture, not as dogma, but as tools to build systems that evolve gracefully over time.
• You have a habit of writing documentation, so the wheels keep turning when you’re not online. You get that code doesn’t matter unless the rest of the team knows how to use it.
• You understand that tools are not magical, there is always a balance between benefits and costs.

Pay range and compensation package

Integration into a young, dynamic, and interdisciplinary team of computationally driven chemical engineers, biotechnologists, and computer scientists. Hybrid work model, with flexibility between our main office in Lisbon and home office. A highly versatile role balancing advanced research, real-world industrial applications, and customer interaction. A steep learning curve, significant responsibility, and exposure to high-impact international projects. Opportunities for travel, conferences, and participation in company-wide community events. Attractive working conditions and clear opportunities for career progression.

Equal Opportunity Statement

DataHow AG is committed to diversity and inclusivity in the workplace. We encourage applications from individuals of all backgrounds and experiences.