Data Engineer (AI)

TL;DR

Data Engineer (AI): Building and optimizing data analytics pipelines for high-speed network orchestration platforms with an accent on algorithm definition and predictive modeling. Focus on translating complex business requirements into actionable insights for global ISPs using Python, SQL, and machine learning techniques.

Location: Must be based in Madrid, Spain (Hybrid)

Company

hirify.global provides AI-driven orchestration platforms and high-speed networking hardware to global ISPs, enabling real-time network management and enhanced customer experiences.

What you will do

• Collect, clean, and validate large-scale datasets from multiple sources.
• Analyze data to identify trends and create actionable dashboards for stakeholders.
• Translate business requirements into robust data analysis and reporting solutions.
• Investigate and resolve data discrepancies to ensure high integrity.
• Apply statistical models and machine learning algorithms to predict future trends.
• Collaborate with product and engineering teams to deliver customer-centric solutions.

Requirements

• Must be based in Madrid or able to work in a hybrid capacity in Madrid.
• Fluency in both English and Spanish is required.
• Bachelor’s degree in Telecommunications, Mathematics, Statistics, or Computer Science.
• Strong experience with Python and SQL (preferably MongoDB and Clickhouse).
• Experience with data visualization tools like Tableau or Power BI.
• Proven experience in data mining and machine learning algorithm application.

Nice to have

• Knowledge of Wi-Fi technologies.
• Experience with MATLAB for algorithm analysis.
• Knowledge of statistical processing and communication systems.
• PhD degree in a relevant field.

Culture & Benefits

• Competitive salary and incentive plan.
• Flexible schedule with telecommuting options.
• Private medical insurance for the employee and family.
• Meal and transportation cards (Pluxee).
• International work environment with a focus on continuous learning.
• Paid time off for birthdays.