Data Engineer - Senior - BR
Hybrid Full-time Senior Data Engineering
At a glance
Senior Data Engineering role at Imagemaker. Full-time.
Pay not stated Data Engineer salary
RoleData Engineering
SenioritySenior
WorkplaceHybrid
EmploymentFull-time
PostedMay 20, 2026 · 5mo ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain dependable data pipelines that preserve quality, integrity and availability for analytics and business teams
- Improve processing and storage to shorten runtimes, lower costs and increase the value of data
- Apply governance standards for data quality, naming, catalogs and traceability, while meeting security and compliance rules
- Monitor and adapt pipeline systems so they remain reliable as business needs change, and help teams access data
What you bring
- You need strong SQL and Python skills, which form the core of this role
- You have GCP experience, especially integrating with BigQuery and Cloud Storage APIs
- You can deploy pipelines using basic CI/CD, such as GitHub Actions or Cloud Build
Who this fits
This senior role is for someone based in Brazil. It suits a data engineer focused on pipeline reliability, governance and process efficiency. Spanish at a basic or intermediate level is a plus.
From the employer
We are hiring: Senior Data Engineer!
Ready to take the next step in your career? We are looking for a Data Engineer who goes beyond the standard pipelines. We need a process-flow specialist ready to leverage AI and Prompt Engineering to drive massive efficiency.
¡This is a position for people from Brazil!
Key Responsibilities
- Design and maintain reliable and scalable data pipelines, ensuring data quality, integrity, and availability for business and analytics teams.
- Optimize data processing, storage, and usage to reduce execution times and costs (FinOps), while maximizing the overall value of the information.
- Apply data governance policies, guaranteeing standards for quality, naming conventions, cataloging, and maturity to ensure order and traceability.
- Comply with security and compliance regulations, protecting data and ensuring adherence to current laws and industry standards.
- Monitor and evolve data pipelines and systems, maintaining their reliability, resilience, and adaptability to new business needs.
- Democratize data access and enable its cross-functional exploitation across the organization.
- SQL and Python (the core of the role)
- GCP, with a strong focus on BigQuery and Cloud Storage
- APIs (consumption and integration)
- Basic CI/CD (GitHub Actions or Cloud Build) for deploying pipelines
- Medallion Architecture (Bronze/Silver/Gold) → this is how the lake/warehouse will be structured
- Query and cost optimization in BigQuery (where SQL meets FinOps)
- Spanish (basic or intermediate) is a plus!
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