TL;DR

Data Engineer (AI): Enhancing access networks for global ISPs through effective data analytics with an accent on data collection, analysis, and predictive modeling. Focus on troubleshooting data issues, supporting decision-making, and collaborating with product and engineering teams.

Location: Hybrid in Madrid

Company

%hirify_global% delivers an AI-driven orchestration platform and high-speed routers for ISPs.

What you will do

Collect, clean, and validate large sets of data from multiple sources.
Analyze data to identify trends and create reports for stakeholders.
Provide data-driven insights to support key business decisions.
Collaborate with product and engineering teams on data analysis solutions.
Troubleshoot data discrepancies and ensure data integrity.
Use statistical models and machine learning for predictive analysis.

Requirements

Bachelor's in Telecommunications, Mathematics, Statistics, or Computer Science (PhD is a plus).
Strong experience in Python and SQL, preferably with Mongo and Clickhouse.
Experience in data collection, analysis, and reporting in lab/production environments.
Familiarity with Tableau/Power BI.
Fluency in English and Spanish.
Ability to work in a hybrid environment in Madrid.