Data Engineer

Biosphera.ntwk

. Build and operate ingestion, transformation, storage, indexing, and serving systems for structured and unstructured data .

Posted 10/30/2026contractSão Paulo • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering, including SQL, Python, and cloud services, while ensuring data quality and governance through effective modeling and orchestration. Capable of collaborating with cross-functional teams to deliver robust data pipelines and maintain compliance with security and privacy standards.

Highest-signal resume keywords

Data EngineeringSQLPythonETL/ELTData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData QualityOrchestrationObservabilityAPIsUnstructured DataVector DataData ContractsData PipelinesData Cataloging

Soft Skills

CollaborationBusiness Rule Translation

Tools & Technologies

Cloud ServicesVector DatabasesStreaming ProductsAnalytics Products

Industry Keywords

Data GovernanceBrazil’s LGPDData FinOpsData SegregationData Retention

Tech Stack

Tools & technologies

CloudETLPythonSQL

About the role

Key responsibilities & impact

Build and operate ingestion, transformation, storage, indexing, and serving systems for structured and unstructured data
Define data quality, cataloging, lineage, contracts, retention, deletion, and ownership practices
Ensure company-level data segregation and enforce permissions across databases, vector stores, files, chunks, and logs
Prepare pipelines for RAG, telemetry, analytics, and value dashboards
Monitor pipeline freshness, completeness, duplication, failures, cost, and performance
Support integrations and migrations by documenting dependencies and business rules
Deliver version-controlled and observable pipelines and data models
Deliver catalogs, data dictionaries, lineage documentation, and quality and access rules
Prepare data stores for RAG, product applications, and measurement, including isolation testing
Collaborate with Solution Architects, AI Specialists, Integration, Value Analysts, DevOps, and data owners across the biomes

Requirements

What you’ll need

Experience in data engineering, SQL, Python, APIs, and cloud services
Strong knowledge of data modeling, ETL/ELT, data quality, orchestration, and observability
Knowledge of unstructured data, vector data, and security and privacy standards
Ability to understand business rules and translate them into data contracts
Preferred: experience with RAG, vector databases, streaming, or analytics products
Preferred: knowledge of Brazil’s LGPD, data governance, and data FinOps

Benefits

Comp & perks

Bbistrô Restaurant (on-site lunch and afternoon coffee) and a Ticket Flash allowance of R$50.00 per day for home-office days
Health insurance (SulAmérica) – Especial 100 plan (with copayment). If dependents (spouse and children) are added, the full cost is deducted from payroll
Optional dental insurance
Life insurance (SulAmérica)
TotalPass (wellness and health)
Birthday day off
13th salary payment
Paid vacation after one year of contract