Senior Data Engineer
Summary
Build and maintain GCP-based data pipelines and warehouses (BigQuery, Cloud Functions, dbt) and automate reporting and dashboards for a fintech/insurance product.
- 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