Senior Data Engineer

• Design, develop, and operate data pipelines (ETL/ELT) that integrate internal and external sources into the FICO ecosystem.
• Ensure data quality, consistency, and governance throughout the ingestion, transformation, and delivery lifecycle.
• Integrate and optimize communication between the FICO ecosystem and the organization’s other data platforms, including data warehouses, data lakes, and BI tools.
• Monitor, diagnose, and resolve pipeline failures, ensuring availability and performance in production environments.
• Document data flows, data models, and processes, promoting engineering best practices and reuse.
• Collaborate with data scientists, analysts, and business stakeholders to translate requirements into efficient data solutions.
• Contribute to the evolution of the data architecture by proposing improvements in performance, cost, and reliability.

• Demonstrated experience in data engineering within corporate environments.
• Proficiency in the FICO ecosystem, including associated data models, platforms, and integrations.
• Strong knowledge of SQL and data modeling, including relational and dimensional modeling.
• Experience with data pipelines and orchestration (ETL/ELT).
• Proficiency in data-focused programming languages, such as Python.
• Experience with data quality, testing, and pipeline monitoring.
• Knowledge of cloud environments and data storage and distribution tools.
• Ability to work in regulated, mission-critical environments with a focus on security and compliance.
• Previous experience in industries that use the FICO ecosystem, such as financial services, insurance, credit, and risk analytics — a plus.
• Knowledge of data warehousing, data lakes, and large-scale modeling — a plus.
• Familiarity with orchestration tools, such as Airflow, and distributed processing frameworks, such as Spark — a plus.
• Experience integrating APIs and legacy systems — a plus.
• Experience with data governance, data catalogs, and data lineage — a plus.
• Certifications or additional education in data engineering, cloud, or analytics — a plus.
• Knowledge of NoSQL — a plus.
• Knowledge of MongoDB — a plus.

• Multi-benefit card — choose how and where to use it.
• Education grants for undergraduate, graduate, MBA, and language courses.
• Certification incentive programs.
• Flexible working hours.
• Competitive salaries.
• Annual performance reviews with a structured career development plan.
• International career opportunities.
• Wellhub and TotalPass.
• Private pension plan.
• Childcare assistance.
• Medical insurance.
• Dental insurance.
• Life insurance.