albois a leading fintech company offering financial products to individuals and SMB's with the mission to bring financial freedom to everyone everywhere.About the roleAt 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 AlboData Pipelines & Orchestration:Design, build, and maintain robust, scalable ETL/ELT pipelines usingPython, SparkandApache Airflowto process high volumes of financial data.Cloud Data Infrastructure:Architect, deploy, and optimize our data environment onGoogle 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 needExperience: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 withGCP(Cloud Storage, Compute Engine, Cloud SQL/Spanner, etc.) and orchestrating complex workflows withApache 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 onGoogle Cloud Platform (GCP)and managing complex task orchestration withApache 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.
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📌 Data Engineer (México)
🏢 Albo
📍 México