Senior Data Engineer (Ref: 197589)

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

Title: Senior Data Engineer – GenAI / Agentic AI / Analytics

Type: 12 month Contract

Unfortunately at this time we aren't able to offer any sponsorship.

We’re partnering with a leading global consumer products organisation looking for a Senior Data Engineer to join a high-impact Data & AI initiative in Mexico City.

This role will sit at the intersection of Data Engineering, Generative AI and Social Analytics, using large volumes of real-world consumer and social data to build AI-driven solutions that automate processes and provide more accurate insight into brand, marketing and content performance.

What You’ll Be Doing

• 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 the accuracy of brand and content-performance analytics.
• Work with data from platforms including TikTok and Instagram, using NLP and contextual analysis to differentiate genuine brand/product engagement from unrelated mentions.
• Develop solutions that enable teams to gain more meaningful insight 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.

What We’re Looking For

• Strong commercial experience in Data Engineering, ideally alongside Data Science, Machine Learning or AI.
• Strong 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 or similar techniques to unstructured data.
• Social media analytics, social listening, marketing analytics or consumer-data experience is highly desirable.
• Strong stakeholder-facing skills with the ability to translate business problems into scalable Data & AI solutions.
• Must be bilingual in Spanish and English.
• Must be able to work in Mexico City.

This is an opportunity to work on a genuine production GenAI/Agentic AI use case, solving the challenge of turning noisy, high-volume social data into reliable insights that can directly inform how a global consumer brand measures and improves its digital content and marketing performance.