Data engineer

Verisure Innovation AB; Malmö kommun; On-site; SEK 45,000 - 65,000; Full time

Job summary

Verisure Innovation AB in Malmö is seeking a Data Engineer focused on building and maintaining data pipelines that support AI initiatives. You will work closely with AI Ops and R&D teams in an exciting role that blends technical skills with long-term architectural thinking.

The ideal candidate has strong Python and AWS skills, along with experience in data platforms and cloud solutions. This position offers a dynamic work environment with opportunities to create impactful AI products.

Qualifications

• Strong Python skills and experience building production‑grade data pipelines.
• Hands‑on experience working with AWS and cloud-native architecture.
• Experience with containerized environments such as Docker.

Responsibilities

• Build and maintain data pipelines that support AI model training and deployment.
• Collaborate with engineers to reduce complexity and improve reliability.
• Help shape the long‑term data architecture for AI‑powered products.

Skills

Python skills

AWS and cloud-native architecture

Containerized environments (Docker)

APIs and distributed systems knowledge

Collaboration with software engineers

Tools

AWS services (S3, SageMaker)

Snowflake

Data Lakes and Medallion Architecture

Job description

Location: Malmö

Department: AI Models & Alarm Intelligence

Hiring Manager: Christian Falck

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.

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

Verisure is an equal‑opportunity employer and welcomes applicants from diverse backgrounds. We are an international company with offices and colleagues in multiple countries.