About Olé Life
Olé Life is a digital life insurance company for Latin America, with growing operations in Mexico and Brazil and international reinsurance partners. We're building a small, senior team where every person has real ownership and AI is part of the daily workflow.
The role
This isn't a maintenance position: you'll be the owner of the company's entire data platform, end to end. Today the data function is spread thin with accumulated operational debt; your mandate is to consolidate it, automate what's manual, clean up governance, and turn data into decisions for Revenue, Operations, Underwriting, and our international teams. You'll coordinate medium-to-large projects directly with business stakeholders, with a lot of autonomy and leadership backing.
What you'll do
- Own the warehouse and pipelines (GCP): administer and evolve BigQuery (bronze/silver/gold architecture), the ingestions from the policy core via Cloud Functions, and move pipelines to an incremental, managed setup (Dataform or similar), optimizing models, joins, and query costs.
- Automate recurring reporting:



turn reports that are manual today — like the quarterly reinsurer report, which takes weeks of manual work — into reliable pipelines with clear ownership, and sustain critical dashboards like daily Revenue.
- Semantic layer and BI: consolidate the semantic model (Cube/Metabase, with a pending migration to Cloud Run), manage the BI stack (Power BI, with Looker evaluation underway), and establish single, governed metric definitions across the company.
- Data for Underwriting — the area of highest impact: complete the tracking of application form responses, build the prescreening data pipeline, automate follow‑ups and notifications that are manual today, and produce the analysis needed to raise the automatic approval rate (ASA) from the current ~20% toward the 70% potential that's been identified.
- Data governance and security: classify sensitive data with Dataplex (Public / Internal / Confi

📌 Sr. Data Engineer (Buenos Aires)
🏢 Ole Life
📍 Buenos Aires