Senior Data Engineer

Jobtailor; Buenos Aires; Presencial; ARS 134.266.000 - 193.940.000; Jornada completa

Descripción de la vacante

Jobtailor is seeking a seasoned Data Engineer to own and evolve our GCP data warehouse and pipelines, including BigQuery, Cloud Functions ingestion, and incremental transformations.

You will automate reporting, sustain critical dashboards, and collaborate with stakeholders across insurance and fintech domains to improve data-driven decisions. Fluency in Spanish and strong English skills are required to operate in a bilingual environment. Knowledge of governance and IAM is a plus.

Formación

• 5+ years 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 and strong experience with BigQuery / GCP or equivalent data warehouse.
• Python experience for pipelines and automation.
• Experience with transformation/orchestration tools like Dataform, dbt, Airflow.
• Experience with BI and semantic modeling using Power BI, Metabase, Looker, or similar.
• Fluent in Spanish and professional/technical English.
• Strong time management, prioritization, and communication.

Responsabilidades

• Own and evolve the GCP data warehouse and pipelines.
• BigQuery, Cloud Functions ingestion, and incremental transformations.
• Automate recurring reporting and sustain critical dashboards.
• Consolidate semantic model and manage BI stack (Cube/Metabase/Power BI/Looker).
• Build underwriting data pipelines, track responses, and analyze improvements.
• Implement data governance and security using Dataplex, IAM, and environments.
• Support incentives systems and cross-border OKRs for Latin America.
• Triages data requests and maintains runbooks and documentation.

Conocimientos

SQL expertise

GCP / BigQuery

Python automation

Stakeholder management

Spanish language

English language

Time management

Prioritization

Communication

Herramientas

BigQuery

Cloud Functions

Dataplex

IAM

Dataform

Dbt

Airflow

Power BI

Metabase

Looker

Supabase

Postgres

Amplitude

Descripción del empleo

• 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

• 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

Core Competencies

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 Management
• Expert SQL
• Python Automation
• BI Semantic Modeling
• Data Governance and Security

Hard Skills

• Data Engineering
• BigQuery
• SQL
• Python
• Dataform
• Dbt
• Airflow
• Power BI
• Metabase
• Data Governance

Soft Skills

• Time Management
• Prioritization
• Communication

Industry Keywords

• Insurance
• Fintech
• Regulated Industries
• Data Classification
• PII Handling

Tools & Technologies

• Cloud Functions
• Dataplex
• IAM
• Looker
• Supabase
• Postgres
• Amplitude