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Open nowPosted 8 hours ago

Pessoa Engenheira de Dados Pleno

WPP Media822 open roles

Where
Brazil
Work mode
Remote
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Your applicationOpen nowPessoa Engenheira de Dados PlenoWPP Media · Brazil

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on WPP Media's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

13.1% of postings close within 7 days. Measured by our own scanner across the market. WPP Media postings stay open a median of 43 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.1%7 days
  4. 21.1%14 days
  5. 35.8%30 days
  6. 59.0%60 days
This job: posted 8 hours ago

WPP Media median: 43 days open

The posting

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Mid-Level Data Engineer (Pessoa Engenheira de Dados Pleno) based in Brazil .

We are looking for a Data Engineer to help build and evolve a robust, scalable, and reliable data platform. In this role, you will develop end-to-end data pipelines and contribute to architectural decisions that improve data processing, storage, and availability. You will work with batch and streaming ingestion, automated testing, monitoring, and observability to ensure high-quality data operations. Partnering with cross-functional teams, you will help solve complex technical challenges and strengthen platform performance and reliability. You will also contribute to data security and governance while supporting the professional development of junior team members. This is an opportunity to make a meaningful impact in a collaborative technology environment focused on innovation and continuous improvement.

Accountabilities

  • Actively contribute to the development and evolution of a data platform, designing and implementing end-to-end data pipelines.
  • Define and implement automated data testing practices to improve data quality and optimize processing and storage performance.
  • Establish observability and monitoring practices, investigate incidents, and troubleshoot complex pipeline issues.
  • Participate in data architecture decisions, including storage models, integrations, scalability, and platform design.
  • Develop and maintain batch and streaming data ingestion processes.
  • Support junior team members by sharing knowledge and providing technical guidance.
  • Ensure compliance with data security and governance policies.
  • Interpret system alerts, monitor pipeline performance, and proactively identify potential issues.
  • Contribute to the continuous improvement of data engineering practices, reliability, and operational efficiency.
  • Bachelor's degree in Systems Analysis and Development, Computer Science, Computer Engineering, or a related field.
  • Advanced SQL and Python skills.
  • Practical professional experience in data engineering and building data pipelines.
  • Experience integrating different data sources and systems, including databases, APIs, and SFTP.
  • Experience with workflow orchestration tools, preferably Apache Airflow.
  • Familiarity with Git-based version control, preferably using GitFlow.
  • Hands-on experience with Terraform.
  • Experience working with cloud environments such as AWS, Azure, or GCP.
  • Experience with troubleshooting, logging, alerts, and data pipeline monitoring.
  • Understanding of DataOps principles, CI/CD practices, and data modeling.
  • Strong analytical and problem-solving skills, with attention to data quality and system reliability.
  • Good communication and collaboration skills, with the ability to support and guide junior professionals.
  • Experience with PySpark is a plus.
  • Familiarity with automated testing practices is desirable.
  • Previous participation in data platform design or implementation projects is an advantage.
  • Experience in technology companies or the financial services sector is considered a plus.
  • Fully remote work model.
  • Reduced working schedule of 32 hours per week for employees with tracked working hours.
  • Copay-based medical insurance for employees and dependents.
  • Online healthcare services and medical support through Clude Saúde.
  • Copay-based dental insurance for employees and dependents.
  • Flexible benefits card providing an average of BRL 1,600 per month for meal and food allowances.
  • Wellhub access to partner gyms and studios for employees and dependents.
  • Monthly home-office allowance of BRL 140.
  • Work equipment and infrastructure provided.
  • Birthday day off.
  • Corporate university and professional development opportunities.
  • Education assistance for employees and dependents, subject to company policy.
  • Language-learning assistance for employees, subject to company policy.
  • Extended maternity leave of 7 months and extended paternity leave of 30 days, including adoptive parents.
  • Life insurance.
  • Emotional well-being program and discounted psychological support for employees and dependents through Moodar.
  • Employee benefits club offering exclusive discounts and partnerships.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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