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Data Engineer – Engineering & Quality

Fitch Ratings · Monterrey

Mid 🇬🇧 English
AWS Databricks Snowflake Starburst Collibra Agentic AI Generative AI

Descripcion del puesto

About the role

Join Fitch Group’s Technology & Data team as a Data Engineer focused on Engineering & Quality. You will work within a high‑performing data engineering squad to design and deliver modern, scalable data solutions that support business priorities and enable AI‑driven insights.

Key responsibilities

  • Implement modern, scalable data solutions aligned with business priorities.
  • Partner with the Chief Data Office and data product leaders to build an AWS‑based data platform for enterprise‑wide self‑service.
  • Define and apply architectural decisions and best practices for data ingestion, transformation, and distribution.
  • Champion emerging technologies such as Agentic AI and Generative AI, integrating them into data workflows.
  • Ensure operational excellence by addressing complex engineering challenges, establishing robust quality controls, and preventing production incidents.

Required profile

  • 3‑5 years of hands‑on experience as a data‑centric software engineer, preferably in financial services.
  • Experience with data lake‑house technologies (e.g., AWS, Databricks, Snowflake).
  • Familiarity with data virtualization solutions (e.g., Starburst) and data catalog/quality tools (e.g., Collibra).

Required skills

  • AWS
  • Databricks
  • Snowflake
  • Starburst
  • Collibra
  • Agentic AI
  • Generative AI

What we offer

  • A dynamic, technology‑focused environment recognized as a “Best Place to Work in Technology” for three consecutive years.
  • Opportunities to work with cutting‑edge AI and cloud solutions.
  • Supportive culture that encourages growth, innovation, and impact.

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Fitch Ratings

Monterrey