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: Mongo DB and My SQL. Mission-Critical SPEI Operations: Guarantee 99.99% availability, disaster recovery (DRP), and seamless data flow for our on-premise My SQL 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 My SQL, Mongo DB, and distributed databases (like Single Store DB 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 (Ia C) tools, primarily Terraform. Database Expertise: Practical experience administering My SQL, Mongo DB, 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. #J-18808-Ljbffr

📌 Data engineer (México)
🏢 Albo, México
📍 México