Data Engineering Specialist

🔥 12 minutes ago

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Escale

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

Artificial Intelligence • SaaS • B2B

Escale is a Brazilian AI-driven sales technology company that builds and operates 'aisa', a multi-agent artificial intelligence salesperson trained on millions of real sales conversations. The platform automates lead qualification, objection handling, negotiation, and sale activation (including identity verification and payment/contract workflows), and is offered on a pay-for-success model to help companies increase digital sales conversion across industries. Escale positions itself as a replacement for traditional chatbots by delivering sales-focused AI agents and integrations for enterprise sales teams.

📋 Description

• Lead the technical design, construction, and evolution of the data architecture, ensuring it is scalable, resilient, and efficient • Design and implement complex data pipelines (ETL/ELT) to integrate diverse sources into our ecosystem • Establish technical governance by defining modeling standards and taxonomy, and ensuring data quality and consistency across the data lifecycle • Serve as a high-level technical bridge between Software Engineering, Product, BI, and AI • Ensure performance for large data volumes by optimizing queries and storage in Data Warehouse/Data Lake • Implement engineering best practices (CI/CD, data testing, versioning) in the data stack • Define security and compliance guidelines (LGPD - Brazilian Data Protection Law) at the processing and storage layers • Act as a technical mentor, raising the team's knowledge bar and promoting a culture of engineering excellence

🎯 Requirements

• Experience as a Data Engineering Specialist or Staff-level role, or in Analytics Engineering • Proficiency in data-oriented programming languages (Python, Scala, or Java) • Advanced SQL experience (optimizing complex queries and database architecture) • Experience with modern data stack (e.g., Airflow, dbt, Snowflake, BigQuery, Databricks, or Spark) • Experience with cloud architecture (AWS, GCP, or Azure) focused on data services • Experience in data modeling (Dimensional, Data Vault) for high-scale products

🏖️ Benefits

• Meal and Flexible Food Allowance (iFood) • Medical and Dental coverage • Childcare assistance • Extended parental leave • Partner discounts for pet care • Life insurance • Incentives and partnerships offering exclusive discounts on professional specializations at FIAP, APETI, and SENAC • TotalPass • In-house psychological support • Partnership with SESC • Wellhub • Telemedicine • Medical exams/tests (Starbem, Avus, and Dasa) • Discounts with partner companies