Data Engineer - Senior - BR

Imagemaker; São Paulo; On-site; BRL 120,000 - 150,000; Full time

Job summary

Imagemaker is looking for a Senior Data Engineer in São Paulo, Brazil. This role will focus on designing and maintaining scalable data pipelines, ensuring data quality and compliance with regulations.

The ideal candidate will have strong skills in SQL, Python, and GCP, particularly with BigQuery. Responsibilities also include optimizing data processes to enhance efficiency across operations.

Qualifications

• Strong SQL and Python skills essential for data operations.
• Experience with GCP, BigQuery and Cloud Storage is crucial.
• Knowledge of CI/CD workflows for data pipeline deployment.

Responsibilities

• Design and maintain reliable and scalable data pipelines.
• Optimize data processing and storage to reduce costs.
• Apply data governance policies for quality control.
• Monitor and evolve data pipelines for improved reliability.

Skills

SQL

Python

GCP

BigQuery

Cloud Storage

APIs

CI/CD

Job description

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.

Department: Operations

Location: Chile

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.

Skills, Knowledge and Expertise

Must‑have skills

• 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

Nice‑to‑have / Highly desirable

• 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!