Data Engineer - Operational Analytics

Verisure; Pozuelo de Alarcón; On-site; EUR 45,000 - 65,000; Full time

Job summary

Verisure is seeking a Data Engineer to join the R&D Operations team in Madrid (preferred) or Malmö. You will turn device and service data into actionable insights, collaborate across engineering, QA, release management, and operations, and help improve product reliability and customer experience.

The role blends hands-on data engineering with technical analysis, developing data models, KPIs and dashboards, and supporting software releases with rigorous data analysis.

Qualifications

• A couple of years of relevant experience in Data Engineering, Data Analytics, Software Engineering, Observability or a similar technical role
• Good SQL skills and practical experience with Python or a comparable programming language
• Experience combining, analysing and validating technical or operational data from different sources
• Experience investigating technical issues, identifying patterns and turning data into actionable insights
• Experience developing KPIs, automated reports, dashboards or other analytical solutions
• Curiosity about how technical systems work, combined with the ability to communicate findings clearly
• A collaborative mindset, willingness to share knowledge across teams and professional proficiency in English

Responsibilities

• Collect, structure and combine technical and operational data from multiple sources to develop reliable datasets
• Analyse product telemetry, logs and operational metrics to identify trends, anomalies and performance issues
• Develop data models, KPIs and analytical solutions that help teams understand product and service performance
• Collaborate with Engineering, QA and Operations to investigate field issues, support root-cause analysis and recommend improvements
• Support software and firmware releases by analysing performance across versions, devices and deployments
• Improve observability, automate recurring analysis and help identify potential issues earlier
• Work closely with stakeholders across R&D to understand their needs, share insights and support informed decisions

Skills

SQL

Python

Data Engineering

Observability

Tools

Snowflake

Databricks

Azure Data Explorer

Kusto

Azure Monitor

Application Insights

Power BI

Grafana

Kibana

AWS

GCP

Elastic

Splunk

Tableau

Job description

Location: Madrid (preferred) or Malmö

Department: R&D Release Planning & Service Optimization

The role

As a Data Engineer within R&D Operations at Verisure, you will help us understand how millions of connected devices and services perform in the real world, turning technical and operational data into insights that support better products, reliable services, and improved customer experiences.

You will work together with colleagues across engineering, QA, release management and operations to bring information together from different sources. You will help teams understand product behaviour, investigate technical issues, assess software releases, and identify opportunities for improvement.

The role combines hands-on data engineering with technical analysis and collaboration. You will help develop our operational data capabilities and turn findings into recommendations that support better decisions across R&D.

You will join a supportive international R&D team where people share knowledge, listen to different perspectives and learn from each other.

What You Will Be Up To

• Collect, structure and combine technical and operational data from multiple sources to develop reliable datasets
• Analyse product telemetry, logs and operational metrics to identify trends, anomalies and performance issues
• Develop data models, KPIs and analytical solutions that help teams understand product and service performance
• Collaborate with Engineering, QA and Operations to investigate field issues, support root-cause analysis and recommend improvements
• Support software and firmware releases by analysing performance across versions, devices and deployments
• Improve observability, automate recurring analysis and help identify potential issues earlierWork closely with stakeholders across R&D to understand their needs, share insights and support informed decisions

Good fit if you have

• A couple of years of relevant experience in Data Engineering, Data Analytics, Software Engineering, Observability or a similar technical role
• Good SQL skills and practical experience with Python or a comparable programming language
• Experience combining, analysing and validating technical or operational data from different sources
• Experience investigating technical issues, identifying patterns and turning data into actionable insightsExperience developing KPIs, automated reports, dashboards or other analytical solutions
• Curiosity about how technical systems work, combined with the ability to communicate findings clearly
• A collaborative mindset, willingness to share knowledge across teams and professional proficiency in English

Nice to have / technologies and areas we work with

• Snowflake, Databricks or similar data platforms
• Azure Data Explorer, Kusto, Azure Monitor or Application Insights
• Power BI, Grafana, Kibana or other monitoring and visualisation tools
• Operational analytics, data modelling, observability and product telemetry
• Software and firmware development, testing, release management or progressive deployments
• IoT, connected devices, embedded systems, telecommunications or cloud services
• Experience with AWS, GCP, Elastic, Splunk, Tableau or comparable technologies

Should I apply?

You may enjoy this role if several of these resonate with you:

• You are curious about how technology works and enjoy finding meaningful patterns in data
• You like investigating technical issues and helping others understand what the findings mean
• You appreciate collaboration, knowledge sharing and learning from colleagues with different expertise
• You enjoy contributing to something that is still developing and seeing how your work benefits customers

FAQ

• Is this primarily a Data Engineering or Data Analytics role? It combines both, with a focus on technical and operational analysis. You will use datasets, SQL, Python and analytical tools, while helping teams understand what the data reveals about our products and services. It is not primarily a dashboard-production or traditional BI role.
• Do I need experience with IoT or connected devices? No. Experience in these areas is welcome but not essential. We will help you learn about our products and systems. Your curiosity, analytical experience and willingness to learn matter more
• Will I work with stakeholders outside my immediate team? Yes. You will collaborate with colleagues across Engineering, QA, Release Management, Product and Operations to access relevant information and support technical investigations.
• What is the biggest challenge in this role? Connecting fragmented technical data and turning it into reliable insights that help teams identify issues earlier and improve product performance.

Bottom line

If you enjoy exploring technical data, understanding how connected products behave and working with colleagues across R&D, this is an opportunity to help build a capability that makes a real difference to product reliability and customer experience.

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.

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.

Verisure - 35 years of delivering peace of mind.