Senior Data Engineer

Senior Data Engineer at Jobgether scores 64 out of 100 on AI centrality, which makes it a Level 3 role on this board.

Remote (Brazil)seniorFull-time

AI in this role

prompt-engineeringragml-ops

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in Brazil.

This is a senior-level opportunity to design and build the data infrastructure powering modern BI, AI, and LLM-driven applications.
You will take ownership of scalable end-to-end data pipelines, from ingestion and transformation to analytics, model training, and real-time inference.
The role combines traditional data engineering with emerging technologies such as vector databases, RAG, prompt engineering, and intelligent orchestration.
You will work closely with BI and data stakeholders to translate business and technical requirements into reliable, scalable solutions.
Your work will help enable natural-language analytics, AI-backed insights, advanced search, and data-driven decision-making.
The environment encourages continuous learning across data engineering, MLOps, and LLM operations.
This is a fully remote role for professionals based in Latin America, with long-term growth opportunities and a strong focus on technical development.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringRagMl Ops

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How would you design a retrieval step so the model answers from real data instead of guessing?
How do you monitor a model once it's live, and how do you know it needs retraining?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: Prompt Engineering, Rag, and Ml Ops. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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