Data Engineer

🕒 5 days ago

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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 across 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 remediate pipeline failures, ensuring availability and performance in production environments • Document data flows, models and processes, promoting engineering best practices and reusability • 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 associated 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-oriented programming languages such as Python • Experience with data quality, testing and pipeline monitoring • Knowledge of cloud environments and data storage/distribution tools • Ability to operate in regulated, high-criticality environments with a focus on security and compliance • Preferred: experience in financial services, insurance, lending or risk analysis • Preferred: expertise in data warehousing, data lakes and large-scale modeling • Preferred: familiarity with Airflow and Spark • Preferred: experience integrating APIs and legacy systems • Preferred: experience with data governance, catalogs and data lineage • Preferred: certifications or additional education in data engineering, cloud or analytics • Preferred: knowledge of NoSQL and MongoDB • Availability to work independently and manage your own time

🏖️ Benefits

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