Senior GenAI Data Engineer - Social Analytics

Forsyth Barnes; Mexico; On-site; PHP 3,305,000 - 4,774,000; Full time

Job summary

You will collaborate with stakeholders to productionize AI solutions, integrate NLP-driven insights, and drive high-volume data projects in a dynamic, data-focused environment.

Qualifications

• Strong commercial experience in Data Engineering, ideally alongside Data Science, Machine Learning or AI.
• Hands-on Python and SQL expertise.
• Experience designing and building production data pipelines and working with high-volume datasets.
• Commercial experience with Generative AI, Agentic AI, LLMs and/or AI-driven automation.
• Experience applying NLP, text classification, semantic/contextual analysis to unstructured data.
• Social media analytics, social listening, marketing analytics or consumer-data experience is highly desirable.
• Must be bilingual in Spanish and English.

Responsibilities

• Design and build scalable data pipelines to ingest, process, classify and transform large volumes of structured and unstructured data.
• Develop Agentic AI / GenAI solutions that use business data to automate manual analytical processes and workflows.
• Build an AI-driven solution to automatically identify and filter irrelevant social media data, improving analytics accuracy.
• Work with data from platforms including TikTok and Instagram, using NLP and contextual analysis to differentiate genuine engagement from unrelated mentions.
• Develop solutions that enable teams to gain insights into social engagement, consumer behaviour and marketing performance.
• Partner with Data, AI, Analytics and business stakeholders to take solutions from initial use case through to production implementation.

Skills

Python

SQL

Data pipelines

GenAI

LLMs

NLP

Social analytics

Bilingual Spanish/English

Job description

You will collaborate with stakeholders to productionize AI solutions, integrate NLP-driven insights, and drive high-volume data projects in a dynamic, data-focused environment.