LinkedIn Job Wrapping

Senior Data Engineer Brazil

LinkedIn Job Wrapping · Avenida das Nações Unidas, 12901,11° andar São Paulo

Posted 21 days ago

or apply directly on LinkedIn Job Wrapping's site. We never take the application ourselves.

Is this posting real?

This role has been open
21 days
LinkedIn Job Wrapping's roles stay open a median of 45 days
Reposted
No
Salary listed
No
5% of LinkedIn Job Wrapping's roles list one
Ghost-job risk at LinkedIn Job Wrapping
high
82 stale, 1 reposted of 106 open
Hiring momentum
133 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from LinkedIn Job Wrapping's own greenhouse board since 2026-08-03. Full hiring picture for LinkedIn Job Wrapping.

About this role

As a Senior Data Engineer at Artefact LatAm, you will design, build, and maintain scalable data pipelines and workflows to support analytics and data-driven products. Your role involves working across the entire value chain of projects, including infrastructure creation, data collection, and applying machine learning models. You will collaborate with diverse teams and communicate technical concepts to non-technical stakeholders while prioritizing tasks and meeting deadlines.

Our read on this posting3.2out of 5
benefits
4/5
freshness
4/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of LinkedIn Job Wrapping as an employer.

What you need

  • Hands-on experience in GCP (Google Cloud Platform)
  • Good knowledge of Python
  • Familiarity with big data technologies like Beam (Dataflow), Spark (Dataproc), or Flink
  • Experience with Docker
  • Degree in Computer Science, Statistics, Engineering, Economics, or a related field
  • Strong communication and interpersonal skills

Nice to have

  • Knowledge of Java and Scala
  • Experience with GKE (Google Kubernetes Engine)

What you get

  • Meal Allowance (VR)
  • Free Office (work from home or anywhere you want!)
  • Gympass
  • Insurance: Life, Health, and Dental
  • Three Meetings per Year for workshops and training
  • Woba (book coworking spaces anywhere)

Worth weighing

  • Focus on cloud and big data technologies may limit exposure to other tech stacks
  • Emphasis on communication skills suggests a collaborative but possibly less technical environment

Summarised from LinkedIn Job Wrapping's posting. Read the full original.

Listed by LinkedIn Job Wrapping on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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