FICO Data Engineer

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GFT Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1987

💼 Consulting

🛡️ Insurance

🔒 Cybersecurity

Consulting • Insurance • Cybersecurity

GFT Technologies is a leading technology and digital transformation company that specializes in providing advanced solutions for consent management and data privacy compliance. Their flagship product, Cookiebot, enables businesses to automate user consent collection efficiently, ensuring adherence to complex privacy regulations such as GDPR and CCPA. GFT's solutions facilitate seamless integration into existing digital infrastructures, helping over 600,000 customers globally manage user data transparently and securely.

📋 Description

• 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 entire ingestion, transformation and delivery flow. • Integrate and optimize communication between the FICO ecosystem and other organizational 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.

🎯 Requirements

• Proven experience in data engineering within corporate environments. • Proficiency in the FICO ecosystem, including related data models, platforms and integrations. • Strong knowledge of SQL and relational and dimensional data modeling. • Experience with data pipelines and ETL/ELT orchestration. • Proficiency in data-focused programming languages such as Python. • Experience with data quality, testing and pipeline monitoring. • Knowledge of cloud environments and data storage/distribution tools. • Ability to work in regulated and high-criticality environments, with a focus on security and compliance. • Nice to have: experience in financial services, insurance, credit or risk analysis. • Nice to have: experience with data warehousing, data lakes and large-scale modeling. • Nice to have: familiarity with Airflow and Spark. • Nice to have: experience integrating APIs and legacy systems. • Nice to have: experience with governance, data catalogs and data lineage. • Nice to have: certifications or additional training in data engineering, cloud or analytics. • Nice to have: knowledge of NoSQL and MongoDB. • Ability to work independently and manage own time.

🏖️ Benefits

• Multi-benefit card – you choose how and where to use it. • Scholarships for undergraduate, postgraduate, MBA and language courses. • Certification incentive programs. • Flexible working hours. • Competitive salaries. • Annual performance review with a structured career plan. • Opportunity for international career. • Wellhub and TotalPass. • Private pension plan. • Childcare allowance. • Health insurance. • Dental insurance. • Life insurance. • Continuous Scaled Learning and a culture of development and growth.