Lead Data Engineer — AI-Driven Data Pipelines (Hybrid)

Hearst Corporation

Monterrey

Vor Ort

MXN 1.200.000 - 2.000.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Hybrid work flexibility
Tuition reimbursement
Healthcare offerings
Parental leave
Volunteer days

Zusammenfassung

Fitch Group, part of Hearst, is seeking a Lead Data Engineer in Monterrey, Mexico to design and scale data pipelines and ML-ready data platforms. You will lead hands-on development, collaborate with analytics and AI teams, and drive best practices across data lakes and warehouses.

You will work with modern data tools, cloud services, and governance standards to deliver reliable, scalable solutions in a regulated financial context. Join a team recognized for innovation and impact.

Qualifikationen

  • 5-8 years hands-on data engineering experience in financial services or regulated industry.
  • Proficiency in SQL and Python, including API/data pipeline development.
  • Experience designing solutions on AWS with containerization (Kubernetes/EKS) and serverless (AWS Lambda).
  • Experience with Data Lakes, Data Warehouses, Data Governance, Data Mesh; CI/CD and automated testing; Agile delivery.
  • 1-2 years AI-enabled engineering or data tooling (LLM-based tools, prompt workflows, semantic search, RAG pipelines).
  • Ability to lead technical workstreams and mentor junior engineers.

Aufgaben

  • Design, build, test, and deploy scalable data pipelines, APIs, and data products.
  • Act as hands-on technical lead contributing to coding, SQL development, testing, and production support.
  • Develop robust solutions across data lakes, data warehouses, and governed data environments for performance and reliability.
  • Work on intelligent automation and agentic use cases with LLM-based tools and related tech.
  • Partner with business, analytics, and AI/ML teams to deliver data solutions aligned to enterprise priorities.
  • Lead technical design, delivery planning, and coordination across initiatives; mentor teammates.
  • Establish and enforce data engineering standards for code quality, testing, observability, and ops.

Kenntnisse

SQL
Python
Data pipelines
API development
CI/CD
Agile delivery
Stakeholder communication
Mentoring

Tools

AWS
Kubernetes/EKS
Docker
Databricks
Snowflake
Trino
LLM tooling

Jobbeschreibung

Fitch Group, part of Hearst, is seeking a Lead Data Engineer in Monterrey, Mexico to design and scale data pipelines and ML-ready data platforms. You will lead hands-on development, collaborate with analytics and AI teams, and drive best practices across data lakes and warehouses.

You will work with modern data tools, cloud services, and governance standards to deliver reliable, scalable solutions in a regulated financial context. Join a team recognized for innovation and impact.

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