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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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.