Software Architect and Data Manager
Overview You will define and execute the strategic data roadmap, aligning architecture with business goals. You will lead a data and analytics team and act as Scrum Master to balance short-term delivery with long-term vision. You will design modern microservice-based architectures in containers, promoting governance, security, and documentation. This role focuses on enabling a scalable, data-driven platform to optimise public transport decisions, offering both technical influence and leadership within a cross-functional team. Compensaciones / Beneficios * Hybrid working model * 8 weeks teleworking outside usual area * Flexible start and finish times * Potential relocation package * Competitive compensation with ongoing reviews * Wellbeing program (health, dental, mental health) Responsabilidades * Define and execute the strategic data roadmap aligned with business objectives * Lead a team of data and analytics engineers and support their professional development * Act as Scrum Master, balancing sprint delivery with strategic vision * Design and implement modern microservices-based architectures using Docker and Kubernetes * Promote best practices in data governance, security, modelling and documentation * Oversee the development lifecycle from design to implementation with focus on quality and efficiency Requisitos principales * Architectural design and construction of complex systems * Experience with data integration and scalable data architectures * Familiarity with Apache Airflow, Prefect or Luigi * Object-oriented programming * Data analysis and visualization tools (Tableau, Power BI) * Python ecosystem (Pandas, NumPy, ML frameworks) * Cloud-oriented architectures (AWS, Azure, GCP) * Big Data frameworks and storage (Spark, Hadoop, HDFS; S3; SQL/NoSQL databases) * Containers and deployment (Docker, Kubernetes) * DevOps and CI/CD practices; agile methodologies * Cloud certifications (AWS Solutions Architect, Google Cloud Professional Data Engineer) are an asset * leadership * team collaboration * adaptability * Architectural design of complex systems * Data integration and governance * Microservices and container-based architectures