Data Engineer

albo, México; México; Presencial; MXN 700.000 - 1.000.000; Jornada completa

Descripción de la vacante

albo is seeking a high-performing Data Engineer to own and scale our core financial data infrastructure, including SPEI workloads. You will design robust ETL/ELT pipelines with Python, Spark and Airflow in a hybrid cloud/on‑prem setup, ensuring reliability for critical services.

You will optimize queries, manage MySQL and MongoDB databases, and apply AI-driven automation to accelerate troubleshooting and data modeling while advancing Terraform-based deployments on GCP.

Formación

• 4+ years in data engineering or similar roles in high-transaction environments.
• Hands-on with GCP and Airflow for orchestrating complex ETL workflows.
• Expert in Python for data processing and IaC with Terraform.

Responsabilidades

• Design, build, and maintain ETL/ELT pipelines using Python, Spark, and Airflow.
• Manage Google Cloud Platform infrastructure and Terraform deployments.
• Administer and scale MongoDB and MySQL databases.
• Ensure 99.99% availability and disaster recovery for on-prem MySQL.
• Identify bottlenecks, optimize queries, and tune performance.
• Integrate Generative AI tools to accelerate data scripting.

Conocimientos

Data pipelines

Python

Bash

Terraform

Airflow

GCP

MongoDB

MySQL

SQL performance

Spanish language

Herramientas

MongoDB

MySQL

SingleStoreDB

Airflow

Terraform

Ansible

GCP

Descripción del empleo

albo is a leading fintech company offering financial products to individuals and SMB’s with the mission to bring financial freedom to everyone everywhere.

About the role

At albo, we are looking for a high-performing Data Engineer to manage, optimize, and scale our core financial data infrastructure. You will oversee a unique hybrid environment powering critical services, including Mexico's SPEI payment system. We seek a professional with a performance-first mindset who actively leverages AI tools to accelerate troubleshooting, automate repetitive tasks, and optimize database workloads.

What You’ll Be Doing At Albo

• Data Pipelines & Orchestration: Design, build, and maintain robust, scalable ETL/ELT pipelines using Python, Spark and Apache Airflow to process high volumes of financial data.
• Cloud Data Infrastructure: Architect, deploy, and optimize our data environment on Google Cloud Platform (GCP) using Infrastructure as Code (Terraform).
• Database Ecosystem Management: Act as the guardian of our core data storage layer. You will administer, monitor, and scale our hybrid databases: MongoDB and MySQL.
• Mission-Critical SPEI Operations: Guarantee 99.99% availability, disaster recovery (DRP), and seamless data flow for our on-premise MySQL instances.
• Performance & Tuning: Proactively identify data bottlenecks, optimize complex queries, refine indexes, and manage partitioning to ensure millisecond-level latencies across the pipeline and databases.
• AI Acceleration: Integrate Generative AI tools into your daily workflow to speed up data modeling, automate ETL scripting, and analyze infrastructure logs.

About you and the type of skill you'll need

• Experience: 4+ years as a Data Engineer, Data Platform Engineer, or similar role, with foundational knowledge of Database Administration (DBA) in high-transaction environments.
• Cloud & Orchestration: Deep, hands-on experience working with GCP (Cloud Storage, Compute Engine, Cloud SQL/Spanner, etc.) and orchestrating complex workflows with Apache Airflow.
• Data & Automation Skills: Advanced proficiency in Python for data processing, Bash for scripting, and Terraform/Ansible for automated deployments.
• Database Expertise: Strong hands-on experience administering and tuning MySQL, MongoDB, and distributed databases (like SingleStoreDB or similar).
• Performance & Resilience: Expertise in execution plans, query optimization, high availability, and database replication strategies (cross-site replication, Group Replication).
• Fintech/Banking Background: Experience handling critical financial systems, massive transactional data, or payment gateways.
• Language: Fluent in Spanish (both conversational and technical) is a must.

Non-negotiable requirements (must-haves)

• Core Data Engineering Experience: Minimum 4 years of proven experience building data pipelines, automating processes, and managing data infrastructure.
• Cloud & Orchestration Mastery: Solid and demonstrable experience working on Google Cloud Platform (GCP) and managing complex task orchestration with Apache Airflow.
• Development & Automation: Advanced proficiency in Python and Infrastructure as Code (IaC) tools, primarily Terraform.
• Database Expertise: Practical experience administering MySQL, MongoDB, and distributed databases. Expert ability to analyze execution plans and optimize queries at the infrastructure level.
• Mission-Critical & High Availability: Proven experience guaranteeing 99.99% uptime, executing Disaster Recovery Plans (DRP), and managing database replication strategies.
• AI-Driven Workflow: Active use of Generative AI tools on a daily basis to create data scripts, optimize queries, or automate repetitive tasks.
• Language: Native or fully fluent Spanish.