Senior Data Engineer

seQura is a leading fintech company with operations across Europe and the Americas, empowering merchants and consumers with flexible payment solutions that promote responsible spending and transparency. Its platform serves millions of users and thousands of merchants. Although I just joined, in less than two months I have already:

• Contributed to both team and company repositories, improving shared tooling and workflows.
• Led the integration of AI assistants within the Data team, designing and documenting a complete setup that accelerates development and debugging workflows through customized LLM-based tooling and dbt MCP server integration.
• Directed the design and cross-team alignment of the data anonymization project to ensure regulatory compliance and facilitate secure data sharing.

• Served as the sole Data Engineer, managing the full data lifecycle from ingestion and transformation to quality assurance and access control.
• Refactored the main ingestion pipeline for transactional databases, enhancing performance, improving data freshness, and automating schema evolution.
• Implemented the Write-Audit-Publish (WAP) pattern to improve data quality and minimize release-related risks.
• Increased security by integrating Google SSO, reworking Snowflake roles, and applying masking policies via Snowflake tags.
• Established Infrastructure as Code using Terraform and streamlined deployments through GitHub Actions.
• Introduced and configured Grafana to monitor data operations and enhance alerting mechanisms.
• Reduced Snowflake compute costs by 23% over one year through performance tuning and resource optimization.
• Developed custom Python integrations with third-party APIs to fulfill various data ingestion and enrichment needs.
• Supported data analysts by setting up and maintaining dbt projects, enabling efficient transformation workflows.

• Led the development of data pipelines in the Money domain, supporting subscriptions, ads, and financial planning.
• Designed forecasting systems and implemented a Snowpark proof of concept (POC) to generate ML-driven financial insights.
• Created and maintained templates and CI/CD processes for Snowflake, improving the speed and reliability of pipeline delivery.

• Built pipelines for the Contact and LiveOps departments, handling over 800,000 daily interactions.
• Integrated external APIs, including Kustomer, Shelf, and Talkdesk.
• Developed data products within a Data Mesh architecture, enabling the migration of legacy Python/dbt pipelines.
• Led the refactor of the Kustomer CRM integration, reducing complexity and aligning pipeline design with metadata and quality standards to support domain ownership.

• Built and maintained over 200 ETL jobs using Pentaho and Flink to support cross-functional teams.
• Enhanced in-house reporting systems and contributed to the development of reporting solutions, data marts, and dashboards.
• Integrated Casa.it’s customer database during M&A due diligence and onboarding processes.
• Led the team’s efforts in implementing quality testing for ETLs and conducted internal SQL training sessions.

idealista is the leading real estate portal in Southern Europe.

• Managed a team of five support engineers.

• Conducted integration tests with external systems for the import/export of properties ads

• Served as the primary liaison between development teams and client support

• Coordinated daily with development teams to prioritize and ensure the resolution of bugs and main issues in in-house applications.

• Conducted data research and analysis to address critical issues.

• Provided mentorship to first-level agents.

idealista is the leading real estate portal in Southern Europe.

• Delivered first and second-level support for users across Spain, Italy, and Portugal.

• Triaged incidents and collaborated closely with the development teams to resolve bugs in in-house applications and production systems.