Lead Data Engineer, GCP

Job not on LinkedIn

🕒 August 26

🇨🇴 Colombia – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Lead the migration of prebuilt data connectors from legacy customer systems into the platform's data integration engine • Design, develop, and maintain GCP-native data pipelines using Dataflow, Cloud Functions, and Cloud Run • Ensure integration of new data sources while maintaining performance, scalability, and reliability • Own custom connector deployment and handover activities after transition from development teams • Maintain continuity of in-flight connector implementations and support knowledge transfer • Coordinate with the Data Architect on data lakehouse architecture alignment • Collaborate with the Data Governance Specialist on data classification and governance compliance • Monitor and optimize data ingestion, transformation, and integration processes • Support onboarding of new data sources and data quality throughout the integration lifecycle • Document designs, deployment procedures, and technical configurations • Contribute to data analysis and modeling initiatives supporting business and operational objectives

🎯 Requirements

• Experience with Google Cloud Platform (GCP) data services and cloud-native architectures • Strong knowledge of data integration and ETL processes • Experience building and managing data pipelines using Dataflow, Cloud Functions, Cloud Run, or similar technologies • Experience migrating data connectors and integrating data from multiple enterprise systems • Knowledge of data lakehouse architectures and modern data platforms • Experience with data analysis and data modeling practices • Understanding of database technologies and data management principles • Experience working with large-scale datasets and distributed data processing solutions • Knowledge of data governance, data quality, and data classification requirements • Experience collaborating with architecture, engineering, and governance teams • Strong understanding of cloud-based data engineering best practices • Experience supporting manufacturing, industrial, or operational technology environments • Experience working within regulated environments handling sensitive information • Knowledge of analytics platforms such as Looker • Experience with data migration and modernization programs • Familiarity with AI-enabled platforms and data architectures supporting AI solutions • Experience supporting multi-workstream and distributed delivery models • Knowledge of advanced GCP Big Data and Database services

🏖️ Benefits

• Horarios flexibles • Trabajo remoto • Equipos multidisciplinarios y colaboración • Equipo global multicultural • Plan de carrera personalizado • Programas de formación • Proyectos de alto impacto con clientes líderes de la industria