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 *****% 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 *****% 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.
#J-*****-Ljbffr

📌 Data Engineer (México)
🏢 Albo
📍 México