Senior Data Engineer

ESTADÃO

Data Engineer designing and maintaining scalable data pipelines for Estadão. Collaborating with tech and business teams for data architecture and quality.

Posted 7/21/2026full-timeSão Paulo • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced expertise in designing and optimizing data pipelines and architectures, particularly in Google BigQuery and Microsoft SQL Server. Proficient in data governance, technical documentation, and managing technical projects while collaborating with cross-functional teams.

Highest-signal resume keywords

Google BigQueryData ModelingAdvanced SQL ProficiencyETL/ELT Pipeline DevelopmentCloud Computing (Google Cloud Platform)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentQuery OptimizationRelational ModelingStored ProceduresData Warehouse SolutionsData Lake SolutionsDataOpsCI/CD for Data PipelinesOrchestration Tools (Airflow, Composer)Infrastructure as Code

Soft Skills

Project ManagementTechnical DocumentationStakeholder CollaborationMeeting FacilitationBacklog Organization

Tools & Technologies

Microsoft SQL Server 2022GitAPIsBPMNMonitoring Tools

Certifications & Qualifications

Google Cloud Certifications

Industry Keywords

Data GovernanceData QualityHigh-Volume Data EnvironmentsMachine LearningTechnical Architecture

Tech Stack

Tools & technologies

AirflowBigQueryCloudETLGoogle Cloud PlatformMS SQL ServerSQL

About the role

Key responsibilities & impact

Design, develop and maintain scalable, resilient data pipelines.
Model, structure and optimize databases for analytics and business applications.
Develop data ingestion, transformation and delivery processes (ETL/ELT).
Build and maintain data architectures in cloud environments, focusing on performance, security and governance.
Identify opportunities to optimize data platform costs and performance.
Prepare technical documentation, process flows and solution architecture.
Design integration processes between internal and external systems.
Gather technical requirements together with business stakeholders.
Support data scientists, analysts and developers in using the data platforms.
Participate in defining engineering, quality and data governance standards.
Manage technical data projects, tracking schedules, risks, dependencies and deliverables.
Lead technical meetings with internal teams and vendors when necessary.

Requirements

What you’ll need

Advanced experience with Google BigQuery.
Strong knowledge of data modeling.
Advanced SQL proficiency.
Experience optimizing queries and costs in BigQuery.
Experience with Microsoft SQL Server 2022, including:
- relational modeling;
- stored procedures, views and functions;
- query optimization;
- indexes;
- partitioning;
- basic environment administration.
Experience building data pipelines (ETL/ELT).
Knowledge of modern data architecture.
Experience with system integrations and APIs.
Version control experience using Git.
Experience in Cloud Computing environments (preferably Google Cloud Platform).
Ability to map business processes and data flows.
Experience creating architecture diagrams and technical documentation.
Knowledge of best practices in data governance and data quality.
Experience in process modeling (BPMN or similar is a plus).
Experience managing technical projects.
Ability to organize a backlog, prioritize tasks and track schedules.
Experience leading technical meetings and aligning across different teams.
Ability to translate business needs into technical solutions.
Experience with Data Warehouse and Data Lake solutions.
Knowledge of DataOps and CI/CD for data pipelines.
Experience with orchestration tools (Airflow, Composer or similar).
Knowledge of infrastructure as code.
Experience with high-volume data environments.
Knowledge of observability and monitoring for pipelines.
Experience with Machine Learning and supporting analytical models.
Google Cloud certifications.

Benefits

Comp & perks

Health and dental insurance;
Birthday day off;
Casual dress code every day;
Transportation allowance;
On-site cafeteria;
Life insurance;
Access to Estadão's full digital content;
Exclusive discounts at educational institutions;
Psychological support (Wellz);
Pet plan;
Wellhub (formerly Gympass);
Private pension plan (OESPREV);
Estadão Benefits Club.