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Barcelona, Spain, Spain
Onsite
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 plays a key part in strengthening 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 global 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, and early warning indicators by providing the upstream features, pipelines, and orchestration they depend on.
Demonstrate autonomy in technical execution and delivery of engineering tasks and projects, while aligning with strategic direction from Credit leadership and contributing to a collaborative team environment.
Knowledge, Skills and Experience:
Required:
3 to 5 years of relevant work experience in data engineering, analytics engineering, or a similar role.
Bachelor's Degree in Computer Science, Engineering, Big Data, or related field required.
Strong proficiency in SQL (advanced — window functions, CTEs, query optimization).
Solid working knowledge of Python for data engineering tasks (pipelines, scripting, data quality).
Hands-on experience with a cloud data warehouse — Snowflake strongly preferred.
Working understanding of dimensional data modeling and ETL/ELT patterns.
Hands-on experience working with ERP-sourced financial data (SAP preferred).
Experience with Git and standard collaborative development practices (branching, code review, versioning).
Strong analytical mindset, attention to detail, and problem-solving skills.
Excellent communication skills in English; additional languages are an advantage.
Ability to work effectively in a global, multicultural environment.
Comfortable working independently, managing multiple priorities, and translating business needs into engineering outcomes.
Preferred / a plus:
Master's / Postgraduate Degree in Computer Science, Data Engineering, Big Data, or related field.
Hands-on experience with dbt (or another transformation framework such as Dataform, SQLMesh).
Experience with an orchestrator such as Airflow, Prefect, Dagster, or Snowflake Tasks.
Experience with Databricks and/or PySpark.
Familiarity with CI/CD pipelines for data workflows (GitHub Actions, Azure DevOps, or similar).
Experience integrating data via REST APIs and working with multiple heterogeneous data sources.
Exposure to AI/ML applications in credit analytics, forecasting, or risk modeling.
Familiarity with Power BI, SharePoint, Power Automate, or VBA.
What We Offer:
Hybrid work model with 2 days in the office and 3 days at home.
Personal and professional growth with our commitment to continuous learning and structured progression plans.
Comprehensive benefits, including health insurance, paid leave, retirement plans, and more.
Join us on this exciting journey, where every day presents new challenges and opportunities for growth!
"At TD SYNNEX, we embrace diversity and promote equal opportunities. As a Disability Confident employer, we are committed to providing everyone with the opportunity to demonstrate their skills, talent, and abilities, by offering reasonable adjustments throughout the recruitment process and in the workplace where required."
Don’t meet every single requirement? Apply anyway.
At TD SYNNEX, we’re proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you’re excited about working for our company and believe you’re a good fit for this role, we encourage you to apply. You may be exactly the person we’re looking for!
At TD SYNNEX, our values guide everything we do: Together, We Own It, We Dare to Go, We Grow and Win, and above all, We Do the Right Thing. These principles shape how we work with each other, our partners, and our communities as we drive innovation and create lasting impact.
What’s In It For You?
Don’t meet every single requirement? Apply anyway.
At TD SYNNEX, we’re proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you’re excited about working for our company and believe you’re a good fit for this role, we encourage you to apply. You may be exactly the person we’re looking for!