Senior Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Aevium

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🤖 Artificial Intelligence

☁️ SaaS

Consulting • Artificial Intelligence • SaaS

Aevium is a consultancy and execution partner created by former CTOs that combines AI strategy, engineering, and business vision to help companies prioritize and implement AI and technology solutions that move business indicators. They offer AI strategy (AI Polaris) to map and prioritize opportunities, governance, and 30/60/90 day roadmaps, and provide AI-augmented Smart Squads—multidisciplinary, mission-designed teams with accelerators and governance—to deliver execution capacity without simple staff allocation. Aevium targets complex, regulated or legacy environments and industries like fintech, healthtech, digital retail, banks, insurers, SaaS, industry, education, and logistics; focuses on governance, architecture, KPIs, and measurable impact; and emphasizes converting strategy into deliverable technical execution, AI agents in production, and modernization efforts.

📋 Description

• Develop and maintain data ingestion, transformation, and delivery pipelines • Design and implement scalable, efficient data solutions • Build and optimize ETL/ELT processes • Ensure data quality, governance, and reliability • Collaborate with Analytics, BI, Engineering, and Business teams • Monitor and improve the performance of data environments and workflows • Work at a technology consultancy that connects strategy, innovation, and execution to help companies turn complex challenges into tangible results

🎯 Requirements

• Experience with data modeling and architecture • Advanced SQL knowledge • Experience with ETL/ELT tools and data processing • Experience working with cloud environments (AWS, Azure, or GCP) • Knowledge of Python, Spark, or similar technologies • Experience with relational and non-relational databases • Familiarity with code version control and Agile methodologies

🏖️ Benefits

• 20 days of paid planned leave per year • TotalPass, with access to gyms, nutritionists, and psychologists • Support for physical and mental health and well-being

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