Senior Data Engineer

🕒 March 10

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Verity Group

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2010

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

<Verity Group> is a Brazil-based digital transformation and innovation consultancy that develops and accelerates products and services for enterprises using modern engineering, cloud, and AI-driven approaches. The company offers application modernization, digital experience design, technology outsourcing, and consulting services, and operates an AI orchestration platform called Verity Quantum to integrate and deploy AI agents. Verity Group serves B2B clients in banking, insurance, healthcare and other industries, has 200+ consultants and 1,000+ projects over 15+ years, and focuses on end-to-end strategy-to-execution delivery to generate measurable business value.

📋 Description

• Will be responsible for designing and evolving data architectures • Building scalable pipelines • Implementing engineering best practices in cloud environments • Playing a key role in evolving the data architecture and defining technical standards • Designing and evolving scalable data architectures in cloud environments • Developing robust pipelines for data ingestion, transformation, and delivery • Defining data engineering and data quality best practices • Structuring analytical datasets to support analytics and machine learning initiatives • Optimizing performance and governance of data environments • Supporting analytics teams in structuring datasets and pipelines • Contributing to continuous improvements in architecture and engineering processes

🎯 Requirements

• Strong experience in data engineering • Experience with Python and advanced SQL • Experience with BigQuery or modern data warehouses • Experience with cloud environments (preferably GCP) • Experience building pipelines and modeling analytical data • Experience with layered data architectures (Medallion / Lakehouse) • Nice-to-have: Experience with Vertex AI or advanced data platforms • Experience with DataOps / MLOps • Experience with large-scale analytical environments • Experience supporting machine learning initiatives

🏖️ Benefits

• Meal allowance • Food allowance • Home office allowance • Health insurance • Dental insurance • Life insurance • Employee discount partnerships • Agreements with businesses and educational institutions • Recurring Agile training sessions