Senior Data engineer
Verisure Sverige AB · Malmö · Tills vidare · Deadline 2026-11-03
Verisure Sverige AB is looking for a **Senior Data Engineer** to join its international R&D organization. Serving as a senior individual contributor, the role combines technical data architecture, hands-on engineering, and cross-functional collaboration with machine learning engineers, AI Ops, and software developers. Core responsibilities include designing, building, and maintaining **production-grade data pipelines** and cloud-based infrastructure that collect, process, and store large volumes of data from connected devices. The work establishes foundational data platforms and feedback loops that enable the training, deployment, and monitoring of AI, Edge AI, and computer vision solutions across multiple countries, while actively shaping long-term architectural standards, scalability, and system security. Candidates must have solid professional experience in data engineering, software engineering, or a similar technical role, including designing and maintaining production data solutions. Essential requirements include **advanced Python skills**, hands-on experience with AWS, cloud-native architectures, and Docker or containerised environments, alongside proven expertise in designing S3-based data platforms or data lakes. Applicants should possess a strong grasp of APIs, distributed systems, and technical design for scalability and performance. Experience with machine learning workflows, SageMaker, Snowflake, Medallion Architecture, Infrastructure as Code, or IoT and connected devices is advantageous.
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 to
- Design, 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 have
- Solid 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 with
- AI, 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 connected devices
- Experience supporting architectural decisions or mentoring other engineers
About Verisure
Verisure is the leading provider of professionally monitored security services in Europe and Latin America. As of 31 December 2025, Verisure provides premium monitored alarm services to a portfolio of ~6.2 million families and small businesses across 18 countries, with a team of more than 30,000 colleagues.
For the year ended 31 December 2025, Verisure delivered a strong financial performance: Total Revenue of €3,745 million, Adjusted EBITDA of €1,708 million (46% margin) and Adjusted EBIT of €953 million (25% margin). This performance builds on the Company's track record of resilient, uninterrupted growth over the long term and highlights the strength of its recurring revenue model.
Verisure is majority owned by Hellman & Friedman LLC, a leading private equity investment firm.
Beginning October 8th, 2025, Verisure is listed on the Nasdaq Stockholm Stock Exchange. With €3.1 billion raised in primary proceeds, this was the largest IPO in Europe since 2022 and the largest in Sweden in over 25 years.
We look forward to your application! Join us on this journey towards a safer, smarter world. Apply today!
Verisure is an equal-opportunity employer and welcomes applicants from diverse backgrounds. We are an international company with offices and colleagues in multiple countries.
Verisure - 35 years of delivering peace of mind.