**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 Database Administrator (DBA) 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.

📌 Data Engineer (Ciudad de México)
🏢 Albo
📍 Ciudad de México