Data engineer

Verisure; Malmö kommun; On-site; SEK 700,000 - 900,000; Full time

Job summary

Verisure is hiring a Data Engineer in Malmö within AI Models & Alarm Intelligence to build the data infrastructure powering AI-driven products. You will join a growing AI team working with Computer Vision, Edge AI, Cloud AI, and connected devices to train, deploy, monitor, and improve AI solutions used across multiple countries.

The role blends cloud infrastructure, data engineering, system design, and cross-functional collaboration, with a hands-on approach and a focus on reliability,

Qualifications

• Strong Python skills and production-grade data pipelines experience.
• Hands-on experience with AWS and cloud-native architecture.
• Experience building and maintaining S3-based data platforms and modern data architecture.
• Experience with Docker containers.
• Understanding of APIs, cloud services, and distributed systems.
• Experience collaborating with software engineers and stakeholders.

Responsibilities

• Build and maintain data pipelines for AI model training, evaluation, and deployment.
• Collaborate with AI Ops, developers, and stakeholders across countries to enable scalable infrastructure.
• Develop and improve cloud-based data collection, processing, and storage from connected devices.
• Maintain and evolve data lake, training infrastructure, monitoring, and feedback loops from products.
• Collaborate with R&D engineers to reduce complexity and improve reliability.
• Help shape the long-term data architecture to support future AI-powered products.

Skills

Python

AWS

Cloud-native

Data pipelines

Docker

APIs

Distributed systems

Cross-team collaboration

Tools

Snowflake

SageMaker

Kubernetes

AWS Glue

S3

Job description

Location: Malmö

Department: AI Models & Alarm Intelligence

Hiring Manager: Christian Falck

The role

As a Data Engineer within our team AI Models & Alarm Intelligence, you will play a key role in building the data infrastructure that powers Verisure's next-generation of AI-driven products and services.

You will join a growing AI team working with Computer Vision, Edge AI, Cloud AI, and connected devices, helping create the data foundations that enable our Machine Learning Engineers to train, deploy, monitor, and continuously improve AI solutions used across multiple countries.

The role combines cloud infrastructure, data engineering, system design, and cross-functional collaboration. Success comes from balancing strategic thinking with hands-on implementation, while working closely with both your teammates and stakeholders across the wider organization.

You will join a collaborative and highly skilled AI team where knowledge sharing, ownership, and continuous improvement are part of everyday work.

What You Will Be Up To

• Build and maintain data pipelines that support AI model training, evaluation, and deployment
• Work closely with AI Ops teams, developers, and stakeholders across multiple countries to enable scalable AI infrastructure
• Develop and improve cloud-based solutions for collecting, processing, and storing data from connected devices
• Maintain and evolve our data lake, training infrastructure, monitoring capabilities, and feedback loops from products in the field
• Collaborate with engineers across R&D to reduce complexity, improve reliability, and support future AI initiatives
• Help shape the long-term data architecture that will support the next generation of AI-powered products

Good fit if you have

• Strong Python skills and experience building production-grade data pipelines
• Hands-on experience working with AWS and cloud-native architecture
• Experience building and maintaining S3-based data platforms and modern data architecture
• Experience with containerized environments such as Docker
• Understanding of APIs, cloud services, and distributed systems
• Experience working closely with software engineers and other technical stakeholders

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
• IoT, Edge AI, and connected devices

Should I apply?

Strong Fit If Most Of These Resonate With You

• Building scalable systems and infrastructure is something you genuinely enjoy
• Solving complex technical problems motivates you
• You proactively identify opportunities for improvement rather than waiting for instructions
• Working across teams and dependencies feels energizing rather than frustrating
• You enjoy balancing hands-on implementation with long-term architectural thinking
• AI, cloud platforms, and emerging technologies spark your curiosity

FAQ

• Is this primarily a Data Engineering role or an AI role? The primary focus is Data Engineering. You will work very closely with AI initiatives and Machine Learning Engineers, but your responsibility is to build and maintain the infrastructure and data foundations that enable AI development at scale.
• Will I be building new systems or maintaining existing ones? Both. You will help evolve our current infrastructure while also building new capabilities that support future AI products and services.
• Will I work with stakeholders outside the AI team? Yes. Collaboration is a significant part of the role. You will work with AI Ops, R&D teams, IT teams, and stakeholders across multiple countries and functions.
• What is the biggest challenge in this role? Balancing hands-on delivery with long-term architecture while navigating dependencies on multiple teams and platforms across the organization.

Bottom line

If you enjoy building modern cloud-based data platforms, working alongside talented AI engineers, and creating the foundations that enable AI products to scale globally, this is an opportunity to have a significant impact in one of Verisure’s most exciting and rapidly growing technology domains.

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 in 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.

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.

If you have questions regarding this position, please reach out to our Group Senior TA Specialist, Robert Jonasson, at [e-mail]