Senior Data Engineer

Olé life

Senior Data Engineer owning Olé Life’s end-to-end data platform for Latin American digital life insurance. Consolidating pipelines, governance, BI, underwriting analytics, and reporting in a hybrid Buenos Aires role.

Posted 8/6/2026full-timeBuenos Aires • 🇦🇷 ArgentinaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in GCP data warehousing, including BigQuery and data pipeline automation, while effectively managing BI tools and data governance practices. Proficient in SQL and Python, with strong communication skills to coordinate projects with non-technical stakeholders.

Highest-signal resume keywords

GCP Data Warehouse ManagementExpert SQLPython AutomationBI Semantic ModelingData Governance and Security

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringBigQuerySQLPythonDataformDbtAirflowPower BIMetabaseData Governance

Soft Skills

Time ManagementPrioritizationCommunication

Tools & Technologies

Cloud FunctionsDataplexIAMLookerSupabasePostgresAmplitude

Industry Keywords

InsuranceFintechRegulated IndustriesData ClassificationPII Handling

Tech Stack

Tools & technologies

AirflowBigQueryCloudGoogle Cloud PlatformPostgresPythonSQL

About the role

Key responsibilities & impact

Own and evolve the GCP data warehouse and pipelines, including BigQuery, Cloud Functions ingestion, and incremental managed transformations
Automate recurring reporting, including quarterly reinsurer reporting, and sustain critical daily Revenue dashboards
Consolidate the semantic model and manage the BI stack across Cube/Metabase, Power BI, and potential Looker migration
Build underwriting data pipelines, track application responses, automate follow-ups and notifications, and analyze improvements to automatic approval rates
Implement data governance and security using Dataplex classification, GCP access controls, role management, and separated development/production environments
Support incentives systems, automated agency and agent sends, Operations prescreening, and international OKRs for Mexico and Brazil
Manage incoming data requests through triage, prioritization, and status communication
Document pipelines, metric definitions, and runbooks for continuity

Requirements

What you’ll need

5+ years of experience in data, including at least 3 years as a Data Engineer
Track record coordinating medium-to-large projects end to end with non-technical stakeholders
Expert SQL
Solid experience with BigQuery and GCP, or an equivalent data warehouse with willingness to ramp up on GCP
Python experience for pipelines and automation
Experience with transformation/orchestration tools such as Dataform, dbt, Airflow, or similar
Experience with BI and semantic modeling using Power BI, Metabase, Looker, or similar
Ability to operate with approximately 80% of the context and independently build the remaining 20%
Strong time management, prioritization, and communication
Daily use of AI tools such as Claude, Copilot, or similar
Fluent Spanish
Professional/technical English
Nice-to-have experience in insurance, fintech, or regulated industries
Nice-to-have experience with data governance and security, IAM, data classification, and PII handling
Nice-to-have experience as the first or only data professional in a company or on a small autonomous team
Nice-to-have familiarity with Supabase/Postgres, Amplitude, or notification-flow automation

Benefits

Comp & perks

Small, senior team with significant ownership and zero micromanagement
AI tools integrated into daily work
Direct, visible impact on business decisions
Leadership backing and autonomy