What will you do as a Fullstack Data & AI Developer (Microsoft Fabric) at Sealed Air?

As part of our Enterprise Data & Analytics team, you will help build a modern, enterprise-scale data platform leveraging Microsoft Fabric. This is a hands‑on, execution‑focused role where you will work across the full data lifecycle—from ingestion and transformation to analytics and business consumption—using medallion architecture principles (Bronze/Silver/Gold).

You will combine data engineering and analytics capabilities to deliver high-quality, reliable data solutions, while leveraging AI‑assisted development and modern cloud technologies to accelerate delivery. This role requires a self‑starter mindset, with the ability to work directly with business stakeholders, define solutions, and drive outcomes with minimal supervision.
- Build and maintain scalable data pipelines using Microsoft Fabric (Lakehouses, Dataflows, Notebooks)
- Implement and evolve medallion architecture (Bronze, Silver, Gold layers) for reliable and trusted data
- Develop efficient data transformations using Python,



PySpark, and SQL with a focus on performance and readability
- Ingest and integrate data from multiple sources (APIs, databases, files, structured and unstructured data)
- Collaborate with business and analytics teams to translate requirements into data solutions and insights
- Design and deliver analytics‑ready datasets, including semantic models and Power BI reporting assets
- Leverage AI‑assisted development tools (e.g., Copilot or similar) to improve speed and productivity
- Monitor, optimize, and continuously improve data pipelines, ensuring performance, reliability, and scalability

What do you need to succeed?
- Strong programming skills in Python, PySpark, and SQL
- Solid experience with modern data platforms within the Azure ecosystem (e.g., Data Factory, Synapse, Databricks, Microsoft Fabric)
- Hands‑on experience building and optimizing data pipelines and data transformation workflow

📌 Azure Data Engineer (México)
🏢 Sealed Air
📍 México