Data Engineer — FinTech AI-Driven Pipelines on GCP

albo

México

Híbrido

MXN 600.000 - 900.000

Jornada completa

Hace 2 días
Sé de los primeros/as/es en solicitar esta vacante

Recibe más respuestas de empleadores

Envía un currículum específico para el puesto de trabajo en cuestión de minutos.

Descripción de la vacante

albo is a leading fintech in Mexico City seeking a high-performing Data Engineer to manage and scale core financial data infrastructure. You will oversee a hybrid environment powering services including SPEI, leveraging AI to automate tasks and optimize workloads.

Ideal candidates have 4+ years in data engineering, hands-on GCP and Airflow experience, and fluency in Spanish. The role emphasizes performance tuning, DRP, and fintech data expertise.

Formación

  • 4+ years as a Data Engineer, Data Platform Engineer, or similar role in high-transaction environments.
  • Deep, hands-on experience with GCP and Apache Airflow.
  • Advanced proficiency in Python, Bash, and Terraform/Ansible for deployments.
  • Strong experience administering MySQL, MongoDB, and distributed databases.
  • Expertise in execution plans, query optimization, high availability, and replication.
  • Experience in fintech/banking data systems and payment gateways.
  • Fluent in Spanish (spoken and technical).

Responsabilidades

  • Design, build, and maintain robust ETL/ELT pipelines using Python, Spark, and Apache Airflow.
  • Architect and optimize data infrastructure on Google Cloud Platform using Terraform.
  • Administer and scale MongoDB and MySQL in a hybrid environment.
  • Ensure 99.99% availability, DRP, and seamless data flow for on-prem MySQL.
  • Identify data bottlenecks and optimize queries for millisecond latency.
  • Integrate Generative AI tools to accelerate data scripting and modeling.

Descripción del empleo

albo is a leading fintech in Mexico City seeking a high-performing Data Engineer to manage and scale core financial data infrastructure. You will oversee a hybrid environment powering services including SPEI, leveraging AI to automate tasks and optimize workloads.

Ideal candidates have 4+ years in data engineering, hands-on GCP and Airflow experience, and fluency in Spanish. The role emphasizes performance tuning, DRP, and fintech data expertise.

Consigue la evaluación confidencial y gratuita de tu currículum.
o arrastra y suelta tu archivo aquí
Similar jobs

Puestos de trabajo similares que vale la pena comparar

Data Engineer
Data Engineer

albo • México

Híbrido
MXN 600.000 - 900.000
Associate Data Engineering L2 (GCP)
Associate Data Engineering L2 (GCP)

Publicis Sapient • Ciudad de México

Presencial
MXN 300.000 - 600.000
Data Engineer: Build Scalable Data Pipelines in Guadalajara
Data Engineer: Build Scalable Data Pipelines in Guadalajara

Quiet Capital • Región Centro

Presencial
MXN 700.000 - 1.000.000
Lead Data Engineer - Scale Pipelines & AI‑Ready Stack
Lead Data Engineer - Scale Pipelines & AI‑Ready Stack

Fitch Group • Monterrey (Batáquez)

Híbrido
MXN 900.000 - 1.500.000
Data Engineer: Pipelines, SQL & Python
Data Engineer: Pipelines, SQL & Python

Apex Systems • Monterrey

Presencial
MXN 520.000 - 760.000
GCP Data Engineer: Build Scalable Data Pipelines & Lakes
GCP Data Engineer: Build Scalable Data Pipelines & Lakes

Lingaro • Estado de México

Presencial
MXN 435.000 - 611.000
Fintech DBA: AI-Driven, Multi-Engine, 99.99% Uptime
Fintech DBA: AI-Driven, Multi-Engine, 99.99% Uptime

albo, México • Ciudad de México

Presencial
MXN 515.000 - 860.000
End-to-End Data & ML Engineer (LATAM) — AI-Driven Pipelines
End-to-End Data & ML Engineer (LATAM) — AI-Driven Pipelines

Medium • Chihuahua

Presencial
MXN 1.222.707 - 1.572.052
Lead Data Platform Engineer — Cloud Pipelines & Mentorship
Lead Data Platform Engineer — Cloud Pipelines & Mentorship

EPAM Systems • México

Presencial
MXN 900.000 - 1.300.000
Career growth opportunities
LinkedIn Learning access
English classes with certified teacher
+2
Lead Data Platform Architect: Scalable Pipelines & Cloud
Lead Data Platform Architect: Scalable Pipelines & Cloud

Nabla • Ciudad de México

Híbrido
MXN 900.000 - 1.200.000
Flexible working environment
Volunteer time off
LinkedIn Learning
+1