Overview
Job Purpose: As a Credit Data Engineer within the Credit function, you will design and own the data infrastructure that powers credit risk management, exposure monitoring, and decision‑making across customer, account, and transactional data. You will work closely with the Credit Data Scientist, Credit Management leadership, and regional credit teams to build reliable, well‑modeled datasets that enable advanced analytics, ML models, and management reporting. This role strengthens TD SYNNEX's credit governance by delivering the data foundation that supports informed credit decisions, proactive risk identification, and continuous improvement of credit processes across regions.
Responsibilities
- Design, develop, and maintain data pipelines and transformation models in Snowflake to support credit monitoring, portfolio reviews, and downstream analytics and ML.
- Build and govern the credit data warehouse layer: joins, unions, business rules, slowly-changing dimensions, and curated marts on top of SAP‑landed data and external sources.




- Implement a transformation framework (dbt or equivalent) with tests, documentation, and version control to ensure data quality, lineage, and modularity of credit transformations.
- Orchestrate and monitor pipelines so that downstream consumers (analysts, ML models, Power BI) receive reliable, on‑time data with proper scheduling, alerting, and error handling in place.
- Onboard new data sources - credit insurance feeds, financial information providers, local insolvency registries, and the customer portal - into the credit data platform.
- Drive a data quality framework: freshness, uniqueness, referential integrity, and anomaly detection on critical credit datasets.
- Collaborate with integral and regional credit stakeholders, the Credit Data Scientist, and the Credit Data Analyst to translate business and policy requirements into well‑modeled data products.
- Support the productionisation of credit risk models, scoring approaches, an

📌 Credit Data Engineer (España)
🏢 TD Synnex
📍 España