Fairlead - Lead Data Engineer

GFT TECHNOLOGIES SE; Bogotá; Presencial; COP 200.880.000 - 312.480.000; Jornada completa

Descripción de la vacante

GFT Technologies SE in Bogotá seeks a Senior Data Engineer to lead data modernization initiatives. You will migrate connectors to a GCP-based platform, build scalable pipelines, and ensure governance and compliance across data integration projects.

The role requires deep GCP expertise, experience with Dataflow/Functions/Run, and collaboration with architecture and governance teams to deliver enterprise-scale data solutions.

Formación

• Senior-level data engineer with strong GCP experience and cloud-native architectures.
• Proven skills in data integration, ETL design, and data governance.
• Experience building scalable data pipelines on GCP (Dataflow, Functions, Run).
• Familiarity with data lakehouse concepts and enterprise governance.

Responsabilidades

• Lead migration of prebuilt data connectors from legacy systems into the platform.
• Design and maintain GCP-native data pipelines using Dataflow, Functions, Run.
• Integrate new data sources while ensuring performance and reliability.
• Own custom connector deployment and handover after development.
• Maintain in-flight connector implementations and knowledge transfer.
• Coordinate with Data Architect to align with data lakehouse architecture.
• Collaborate with Governance to ensure data classification and compliance.
• Monitor and optimize data ingestion, transformation, and integration.
• Support onboarding of new data sources and ensure data quality.
• Document designs, deployment procedures, and configurations.
• Contribute to data analysis and modeling for business goals.

Conocimientos

GCP expertise

ETL & data integration

Data governance

Data pipelines

Cross-functional collaboration

Regulated environments

Herramientas

Dataflow

Cloud Functions

Cloud Run

Looker

Descripción del empleo

Working Location:

What We Are Looking For

We are seeking a Senior Data Engineer with strong expertise in Google Cloud Platform (GCP), data integration, ETL processes, and data governance. This role will support a large-scale manufacturing modernization initiative by leading the migration and deployment of data connectors, building scalable GCP-native data pipelines, and ensuring data engineering activities align with enterprise architecture and governance standards. The ideal candidate combines hands-on technical expertise with strong cross-functional collaboration skills in complex, regulated environments.

Responsibilities

• 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 services such as Dataflow, Cloud Functions, and Cloud Run
• Ensure successful integration of new data sources into the platform while maintaining performance, scalability, and reliability
• Take ownership of custom connector deployment and handover activities following the transition from development teams
• Maintain continuity of in-flight connector implementations and support seamless knowledge transfer processes
• Coordinate with the Data Architect to ensure data pipelines and connectors align with the overall data lakehouse architecture
• Collaborate with the Data Governance Specialist to ensure compliance with data classification and governance requirements
• Monitor and optimize data ingestion, transformation, and integration processes
• Support the onboarding of new data sources and ensure data quality throughout the integration lifecycle
• Document designs, deployment procedures, and technical configurations to support long-term platform sustainability
• Contribute to data analysis and modeling initiatives that support business and operational objectives

Requirements and Qualifications

• 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

Nice to Have

• 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

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