The position is an expert role with a strong focus on the active, hands-on execution and ownership of quality assurance activities across multiple product and solution components. The Quality Engineer will take the lead in defining expected product behavior, designing and maintaining test scenarios, identifying deviations, and driving their resolution in close collaboration with development teams. As we already have one Quality Engineer primarily focused on the frontend, this role will complement and expand our QA capabilities, ideally by taking ownership of quality topics across both frontend and backend components.
Proactively drive QA topics across the organization, ensuring quality considerations are embedded early in requirements definition, architecture discussions, and design decisions
Take ownership of quality governance, defining and refining QA methodologies, standards, and best practices across frontend, backend, and data components
Mentor and guide other team members by promoting quality awareness, sharing testing expertise, and supporting the growth of QA capabilities
Support developers by evaluating and adopting new QA tools, frameworks, and technologies to increase efficiency and quality
Drive the maintenance of quality metrics and reporting, providing clear visibility into product quality status and trends
Ensure that backend services and data pipelines follow robust validation and monitoring practices
Strong understanding of software development principles, including design patterns, code quality, and code review processes.
Good understanding of both frontend (e.g. React, NodeJS), backend-related (e.g. databases, SQL)
Experience with software quality assurance and test automation tools for the above areas (e.g., Capability to build up a structured software test pyramid approach (unit, integration and E2E tests) with respective quality gates
Ability to perform QA work hands-on, e.g. write custom scripts to test APIs, databases, and specific components
Strong understanding of software development methodologies, including Agile and Scrum.
Knowledge of data analytics tools (e.g., Knowledge of data science and machine learning
Knowldge of big data pipeline technologies (e.g. Knowledge of big data and IoT applications in the context of heavy machines
Knowledge of hardware (related in particular to data logging and edge computing) and related embedded software
We support and challenge one another to bring out the best in each of us, and we might even have a little fun along the way. 1200 training budget for training courses of your choice, such as conferences (national or abroad), online learning platforms, etc.
~ Free choice of hardware and operating system and flexible working hours and unlimited vacation policy are some ways how we will support you.
~ That’s why you will find free food & drinks in our kitchen.
~ If you are looking to relocate to Germany to join us, we are happy to share our knowledge and help you through the relocation process.
As a result, TALPA as an equal-opportunity employer prohibits discrimination based on race, color, religion, sexual identity, gender identity, marital status, veteran status, nationality, citizenship, age, disability, medical condition, or any other unlawful consideration. We evaluate your application based on merit and keep your information confidential according to local law and best practice. Join TALPA and help shape the future of industrial analytics.
Our platform supports a wide range of sectors, including mining, construction and logistics, by integrating real-time and historical data to deliver actionable insights and enhance operational efficiency.
At TALPA, we foster a culture of exploration and empathy, where collaboration and accountability go hand in hand.