Scrum Master

• Facilitate Scrum Events in a Technical Setting: Lead daily stand-ups, sprint planning, backlog grooming, sprint reviews, retrospectives and other Scrum meetings with an emphasis on software delivery and technical excellence.
• Support Product and Engineering Teams: Collaborate with Product Owners, ML Engineers, Data Engineers, Data Scientists and other technical team members to refine the product backlog, ensuring clarity in user stories and prioritization, prioritize technical debt, and ensure the team is working towards the most valuable features and tasks.
• Agile Support for Technical Teams: Mentor teams on Agile ways-of-working and Agile engineering practices such as Test-Driven Development (TDD), Pair Programming, and Continuous Delivery. Foster a culture of technical excellence and continuous improvement.
• Metrics and Reporting: Use Agile metrics (e.g., burndown charts, velocity, cycle time) to provide actionable insights to the team and stakeholders, driving accountability and predictability in delivery. Where relevant, support the team in general project reporting such as status and progress in relation to roadmap.
• Identify and Remove (Technical) Impediments: Work closely with engineers and technical leads to identify and remove technical impediments (e.g., build issues, CI/CD pipeline problems) that are slowing down the teams progress.
• Drive (Technical) Improvements: In collaboration with tech leads, encourage best practices in continuous integration, automated testing, and deployment strategies to increase software quality and reduce time to market.
• Foster Technical Collaboration: Facilitate collaboration across cross-functional teams including developers, ML Engineers, Data Scientists, Data Engineers, testers, DevOps, and architects to ensure alignment on architectural goals, coding standards, and quality benchmarks.
• Champion Agile Engineering Practices: Advocate for Agile best practices, including technical ones such as CI/CD pipeline optimization, containerization (Docker, Kubernetes), infrastructure as code, DevOps, and automated deployments.

• Education: Bachelors degree in Computer Science, Software Engineering, Information Technology, or a related technical field.
• Preferred location of working: UK, Portugal , France and/or Spain
• Language Requirements: Advanced proficiency in Portuguese and English, with proven fluency at the C2 level in both languages.
• Certifications: Certified Scrum Master (CSM), Professional Scrum Master (PSM), or other Agile certifications (SAFe, LeSS). Technical certifications (e.g., AWS Certified Developer, Google Cloud Professional) are a plus.
• Experience:

• 3+ years of experience as a Scrum Master within highly technical engineering teams.
• Strong understanding of Agile frameworks (Scrum, Kanban) and their practical application in an engineering environment. Experience with scaling Agile practices (e.g., SAFe, LeSS) in a technical setting is a plus.
• Experience working with engineering teams utilizing engineering best practices (e.g., CI/CD pipelines, DevOps, infrastructure automation, cloud deployment, containerisation) in a fast-paced environment.
• Familiarity with software development processes, including branching strategies, code reviews, automated testing, and build processes.
• Previous background in a technical role (e.g., software engineer, systems architect).
• Agile and Technical Skills:
• Excellent communication, collaboration, and coaching skills.
• Strong problem-solving abilities and the capacity to remove obstacles.
• Ability to manage conflict and handle multiple priorities in a dynamic environment.
• Strong proficiency in Agile project management tools such as Jira, Azure DevOps, or similar platforms.
• Excellent problem-solving skills, especially in complex technical environments.
• Ability to interpret technical requirements and assist with technical backlog refinement.
• Understanding of Agile metrics and reporting for technical teams, including velocity, cycle time, and release forecasting.
• Ability to help implement engineering best practices within the teams.
• Understanding of development languages and tools (e.g., Java, Python, JavaScript, Git), cloud technologies and modern development practices (e.g., containerization, microservices architecture).
• Familiarity with Machine Learning, Data Science and Data Engineering concepts.
• Analytical Skills: Excellent analytical and problem-solving skills with the ability to design innovative solutions to complex problems.
• Communication: Strong verbal and written communication skills, with the ability to effectively collaborate with technical (software, AI, embedded systems, hardware) and non-technical stakeholders.
• Attention to Detail: High attention to detail and a commitment to ensuring the accuracy and quality of work.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment and manage multiple projects simultaneously.

• An excellent work environment and an opportunity to create a real impact in the world;
• A truly high-tech, state-of-the-art engineering company with flat structure and no politics;
• Working with the very latest technologies in Data & AI, including Edge AI, Swarming - both within our software platforms and within our embedded on-board systems;
• Flexible work arrangements;
• Professional development opportunities;
• Collaborative and inclusive work environment;
• Salary compatible with the level of proven experience.

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