Data Engineer GCP – Semi Senior

Worldwide | Oct. 17, 2026

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Company: Factor IT

Country: Worldwide

Type: Remote

Employment: Full-time

Description: FactorIT, a technology leader with a presence in 8 countries, offers solutions in Data and Analytics, Digital Transformation and AI. Join an innovative and challenging team that drives technological transformation in large companies.

FactorIT, a leader in technology and data solutions, invites you to be part of a team that drives digital transformation for large companies in the region. In this PM role, you will work on traditional and agile projects, ensuring governance, delivery and control of scope, cost, time and quality. You will lead the interaction of interdisciplinary teams, manage risks throughout the entire project cycle and ensure the development and execution of plans, control boards and committee minutes, promoting timely decision-making for changes in critical project variables. You will participate in strategic and local projects focused on the technological transformation of the region and the financial sector, contributing to the continuous improvement of management processes and practices.

We are looking for a GCP Semi Senior Data Engineer to join a technological team in charge of developing data engineering solutions in Google Cloud Platform (GCP). We will be responsible for ensuring that data flows reliably from ingestion to transformation and preparation for consumption, under a layered architecture with a Medallion Architecture approach.

We expect you to have experience in data integration and processing, with solid knowledge of Python and SQL, and with the ability to work collaboratively in multidisciplinary teams under agile methodologies.

Requirements and Experience:

• Experience in design and development of ETL/ELT pipelines in cloud environments (priority: GCP).
• Solid knowledge of Python for processing and automating data flows.
• Proficiency in SQL for modeling, transformations and analytical queries.
• Experience working with architectures of data by layers, ideally with a Medallion Architecture approach.
• Experience integrating data sources and applying transformations oriented to quality, traceability and reliability.
• Ability to debug, optimize and improve ingestion and transformation processes.

Competences and abilities:

• Orientation to data quality and structured thinking to solve problems.
• Effective communication to coordinate requirements with technical and business profiles.
• Proactivity and capacity for continuous improvement.
• Teamwork and collaboration in agile cycles.

If you are motivated to build scalable, reliable and maintainable data solutions, we invite you to join.

At Factor IT we promote technological transformation with Data & Analytics, AI, automation and advanced analytics solutions for large companies in the region. We are looking for a GCP Semi Senior Data Engineer to join a team that develops and evolves data engineering platforms on Google Cloud Platform (GCP). The focus of the project is to build, optimize and operate ingestion and transformation pipelines, applying layered data architectures with a Medallion Architecture approach to ensure quality, availability, efficiency and reliability of the information. You will have interaction with multidisciplinary teams under agile methodologies, contributing so that solutions generate real value in demanding industries, including the financial sector. Main responsibilities

In the role of GCP Data Engineer (Semi Senior) we will be responsible for designing, building and improving critical components of the data platform in GCP.

• Design, develop and maintain data ingestion, integration and transformation processes in Google Cloud Platform.
• Implement and optimize ETL/ELT data pipelines, applying good engineering practices and efficient processing.
• Build and maintain solutions under Medallion Architecture, managing layers (for example, raw/bronze, refined/silver and curated/gold) according to business requirements.
• Develop robust processes to ensure quality, availability, efficiency and reliability of information.
• Automate orchestration, versioning and deployment tasks of data components following industry standards. team.
• Collaborate with the team to model and transform data aimed at analytical consumption, reports and/or advanced analytics.
• Monitor the performance of the processes, identify bottlenecks and propose improvements

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