Senior Data Engineer & Analytics Specialist (PLENO) - Brazil

Jobgether • Brazil

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Build and optimize scalable data and analytics solutions in a cloud-driven environment, combining data engineering and analytics expertise. Collaborate with stakeholders to design, implement, and improve data pipelines, models, and AI/ML initiatives using Python, SQL, and cloud platforms. Drive data quality, performance, and innovation in a multidisciplinary, remote-first team.

Key Highlights

Hands-on role blending Data Engineering and Analytics with a focus on Python, SQL, and cloud platforms (Azure/AWS)

Work on global data and AI projects, including AI/ML model evaluation and emerging technologies like LLMs

Collaborative, autonomous environment with emphasis on knowledge sharing, technical growth, and software engineering best practices

Key Responsibilities

Participate in inception and refinement sessions to define data solutions aligned with business and technical requirements

Develop, maintain, and optimize scalable data pipelines and engineering solutions using Python, SQL, and cloud platforms

Perform exploratory data analysis (EDA), data curation, and quality evaluation for AI/ML models and data-driven solutions

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Technical Skills Required

Python SQL Azure Data Platform (Databricks, Data Factory)

Benefits & Perks

100% remote work (with mandatory office attendance for Campinas Metropolitan Region residents)

Health and dental insurance

Meal and food allowance, childcare assistance, extended parental leave, profit sharing, life insurance, and wellness programs

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Nice to Have

Experience with AI/ML solutions, LLMs, LangChain, and prompt engineering

Knowledge of MLflow, Kubernetes, Data Quality/Data Lineage, and Power BI

Familiarity with data annotation and curation tools for AI applications

Job Description

This is a hands-on opportunity to build and evolve scalable data and analytics solutions in a modern, technology-driven environment.You will contribute across the data lifecycle, from understanding technical needs and refining solutions to implementation, analysis, and continuous improvement.The role combines Data Engineering and Analytics, with a strong focus on Python, SQL, cloud data platforms, and scalable pipelines.You will work closely with technical and business stakeholders to turn complex requirements into reliable, high-quality data solutions.The position also offers exposure to AI and ML initiatives, including model evaluation and emerging technologies such as LLMs.

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