Data Engineer - Operational Analytics (IoT)

Location: Madrid, Spain (preferred) or Malmö, Sweden

Company

hirify.global provides professionally monitored security and alarm services across Europe and Latin America, supporting connected products and services for millions of families and small businesses.

What you will do

• Collect, structure, combine and validate technical and operational data from multiple sources.
• Analyse product telemetry, logs and operational metrics to identify trends, anomalies and performance issues.
• Develop data models, KPIs, automated reports and analytical solutions for product and service performance.
• Collaborate with Engineering, QA, Release Management, Product and Operations on field investigations, root-cause analysis and improvement recommendations.
• Support software and firmware releases by analysing performance across versions, devices and deployments.
• Improve observability, automate recurring analysis and help teams identify potential issues earlier.

Requirements

• 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 technical systems and the ability to communicate findings clearly.
• Collaborative mindset and willingness to share knowledge across teams.
• Professional proficiency in English.
• IoT or connected-device experience is welcome but not essential; the role is not primarily focused on dashboard production or traditional BI.

Nice to have

• 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.
• AWS, GCP, Elastic, Splunk, Tableau or comparable technologies.

Culture & Benefits

• Work in an international R&D environment with knowledge sharing and collaboration across different areas of expertise.
• Collaborate with colleagues across Engineering, QA, Release Management, Product and Operations.
• Contribute to a developing operational data capability that supports product reliability and customer experience.
• Learn about hirify.global products and systems; prior IoT or connected-device experience is not required.