Senior Data engineer

​ As a Senior Data Engineer at Verisure, you will play an important role in designing, building, and evolving the data infrastructure that supports our next generation of AI-driven products and services. You will work in a growing technology environment where Computer Vision, Edge AI, Cloud AI, and connected devices are central to developing smarter security solutions. Your work will provide the data foundations that enable Machine Learning Engineers to train, deploy, monitor, and continuously improve AI solutions used across multiple countries. This is a senior individual contributor role combining data architecture, hands-on engineering, cloud infrastructure, and cross-functional collaboration. You will take responsibility for technical solutions from design through implementation and ongoing improvement, while shaping long-term architectural decisions. You will collaborate with experienced engineers and technical specialists across our international R&D organization, contributing your expertise, sharing knowledge, and helping establish reliable and scalable data engineering practices. Beyond hands-on development, you will take greater responsibility for architectural decisions, technical design, and the long-term development of our data infrastructure. You will also contribute your experience to technical discussions, share knowledge, and help improve engineering practices. What you will be up toDesign, build, and maintain scalable, production-grade data pipelines supporting AI model training, evaluation, deployment, and monitoring Take technical responsibility for data engineering solutions, from architecture and design to implementation, optimisation, and ongoing maintenance Develop and improve cloud-based infrastructure for collecting, processing, and storing large volumes of data from connected devices Evolve our data lake architecture, training infrastructure, monitoring capabilities, and feedback loops from products in the field Collaborate with Machine Learning Engineers, AI Ops, software developers, and other technical stakeholders to develop reliable and efficient data solutions Contribute to architectural discussions and help establish technical standards, best practices, and sustainable engineering approaches Identify opportunities to improve data quality, performance, scalability, security, and operational reliability Share technical knowledge, support colleagues, and contribute to the continuous development of our engineering practices Help shape the long-term data architecture supporting future AI-powered products and services Good fit if you haveSolid professional experience in Data Engineering, Software Engineering, or a similar technical role, including designing and maintaining data solutions in production environments Advanced Python skills and experience developing reliable, production-grade data pipelines Hands-on experience with AWS and cloud-native architectures Experience designing and maintaining S3-based data platforms, data lakes, or similar cloud-based data infrastructure Experience working with Docker and containerised environments Good understanding of APIs, distributed systems, cloud services, and modern data architecture Experience making technical design decisions and considering scalability, maintainability, performance, and reliability Ability to work independently while collaborating effectively with engineers and stakeholders across different teams Interest in sharing knowledge, supporting colleagues, and contributing to technical improvements Nice to have / technologies and areas we work withAI, Machine Learning, Computer Vision, or Data Products AWS services such as S3, SageMaker, IAM, and cloud networking Data Lakes and Medallion Architecture (Bronze, Silver, Gold) Snowflake and modern analytics platforms Docker, orchestration, and cloud deployment patterns Infrastructure as Code and automated deployment practices Data orchestration, monitoring, and observability IoT, Edge AI, and…