Senior Data Engineer

🕒 July 17

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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

• Map and inventory consumers of the legacy Data Warehouse, including dashboards, reports, applications, and system integrations; • Classify consumers by business domain, criticality, and migration priority; • Model and build consumption marts in the Gold layer following medallion architecture patterns and data contracts; • Execute the repointing of dashboards, reports, applications, and integrations to the new data platform; • Lead migrations in waves, aligned with the business domains' planning and timelines; • Validate data parity between legacy environments and the Lakehouse before decommissioning legacy data loads; • Develop automations for reconciliation, validation, and monitoring of data quality; • Collaborate with Product Owners, Data Architects, and business teams to prioritize and execute migrations; • Ensure adherence to governance models, data contracts, and corporate standards defined for the platform; • Contribute to technical documentation, definition of best practices, and continuous evolution of the consumption architecture.

🎯 Requirements

• Strong experience in Analytics Engineering or Data Engineering focused on analytical consumption layers; • Experience with dimensional modeling, Data Marts, and Kimball architecture (Star Schema); • Knowledge of semantic layers, certified metrics, and indicator governance; • Experience with Databricks, Spark SQL, and Delta Lake in production environments; • Knowledge of the medallion architecture (Bronze, Silver, Gold); • Experience repointing and migrating BI solutions, including Power BI, Tableau, or similar tools; • Experience refactoring datasets and validating consistency across data sources; • Experience with system data integrations, APIs, batch extracts, and data loads between systems; • Advanced SQL skills for reconciliation and comparison of large volumes of data; • Experience with Unity Catalog for lineage, discovery, and documentation of data assets; • Knowledge of Python and PySpark for automation of validations and migration processes; • Experience with Data Quality, Data Contracts, and data validation mechanisms; • Analytical ability to identify impacts and lead complex data modernization processes;

🏖️ Benefits

• Multi-benefit card – choose how and where to use it. • Tuition 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 assistance. • Health insurance. • Dental insurance. • Life insurance.