07 nov
|
Verisure
|
Madrid
OverviewIn this Data Engineer role within R&D; Operations, you translate telemetry and operational data from millions of devices into actionable insights to improve products and customer experiences.
You will collaborate with Engineering, QA and Operations to unify data sources, investigate issues and support informed release decisions.
You'll build data models, KPIs and analytics that show how product and service performance evolve in real-world use.
This role combines hands-on data work with technical analysis in a collaborative, international team.
A key hook is shaping observability to drive reliability across R&D.;
ResponsabilidadesCollect, structure and combine data from multiple sources to create reliable datasets
Analyze product telemetry, logs and metrics to spot trends, anomalies and performance issues
Develop data models, KPIs and analytical solutions for product/service performance
Collaborate with Engineering, QA and Operations for root-cause analysis and improvements
Support software/firmware releases by analyzing performance across versions, devices and deployments
Improve observability, automate recurring analysis and surface early warnings
Communicate insights to stakeholders across R&D; to inform decisions
Requisitos principalesA couple of years of relevant experience in Data Engineering, Data Analytics, Software Engineering, Observability or similar technical role
Strong SQL skills and practical experience with Python or equivalent language
Experience combining, analyzing and validating data from multiple sources
Experience investigating technical issues and turning data into actionable insights
Experience developing KPIs, automated reports or dashboards
Curiosity about how technical systems work and clear communication of findings
Collaborative mindset and professional English proficiency
Collaboration
Curiosity
Knowledge sharing
SQL
Python
Data platforms (Snowflake, Databricks)
📌 Data Engineer - Operational Analytics - Pozuelo De Alarcón (Madrid)
🏢 Verisure
📍 Madrid