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Sicredi

Mid-Level Internal Audit Data Engineer

Sicredi

. Develop and maintain robust, scalable, and auditable data pipelines, with a focus on governance and traceability.

Posted 9/15/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing and maintaining data pipelines, ensuring data quality, security, and compliance. Proficient in data engineering tools and practices, with a strong focus on performance optimization and analytical pipeline design.

Highest-signal resume keywords
Data Pipeline DevelopmentSQLPythonData LakesETL/ELT Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringData ModelingAnalytical Systems ArchitectureData IngestionData TransformationData DeliveryDatabase MonitoringPerformance MetricsAutomation PracticesCompliance Standards
Soft Skills
Leadership SkillsCommunication SkillsProactive MindsetInterpersonal SkillsEagerness to Learn
Tools & Technologies
DatabricksAWSKafkaGitLabConfluenceJira
Certifications & Qualifications
Data Engineering CertificationCloud Computing CertificationAI CertificationAnalytics Tools Certification
Industry Keywords
Data GovernanceTraceabilityInternal AuditRegulatory StandardsAgile Methodologies

Tech Stack

Tools & technologies
AWSCloudETLKafkaPythonSparkSQL

About the role

Key responsibilities & impact
  • Develop and maintain robust, scalable, and auditable data pipelines, with a focus on governance and traceability.
  • Integrate data from different sources, ensuring quality, consistency, security, and compliance with internal and regulatory standards.
  • Implement and maintain data storage systems, such as data lakes and lakehouses, with a focus on performance and cost-effectiveness.
  • Optimize data ingestion, transformation, and delivery processes using modern data engineering and automation practices.
  • Contribute to data domain modeling and the design of analytical pipelines aligned with Internal Audit needs.
  • Collaborate with data visualization and analytics teams, supporting efforts to extract value from information and build analytical environments.
  • Participate in the analysis and modeling of internal systems, proposing efficient strategies for information capture, transport, and processing.
  • Monitor and improve data system performance, proposing metrics and continuous improvement strategies.
  • Lead technical discussions and negotiations with business and technology teams, proposing effective and sustainable solutions.

Requirements

What you’ll need
  • Bachelor’s degree in Information Technology, Computer Engineering, Computer Science, Engineering, Business Administration, Economics, Finance, or related fields.
  • Completed or ongoing graduate studies in Data Engineering, Data Science, Artificial Intelligence, or related fields.
  • Experience with data engineering tools and technologies such as SQL, Python, and Spark.
  • Experience with platforms such as Databricks, AWS, and Kafka is preferred.
  • Experience with relational and non-relational databases.
  • Experience with ETL/ELT tools and practices and the automation of analytical processes.
  • Experience with GitLab, Confluence, Jira, and agile methodologies.
  • Knowledge of data modeling and analytical systems architecture.
  • Knowledge of implementing analytical pipelines focused on audit and risk.
  • Knowledge of monitoring and validating databases and analytical data sources.
  • Knowledge of defining and tracking technical and operational performance metrics.
  • Leadership and communication skills.
  • Proactive mindset.
  • Eagerness to learn.
  • Strong interpersonal skills.
  • Intermediate English is a plus.
  • Certifications in data engineering, cloud computing, AI, or analytics tools are a plus.

Benefits

Comp & perks
  • 14th and 15th fixed annual salaries
  • Profit-sharing, according to seniority
  • Health and dental insurance with no copayments
  • Well-being programs through Wellhub (formerly Gympass), including nutrition, psychological support, workplace exercise, massage, a running group, and a local gym
  • Food and meal allowances, with flexible allocation percentages between the food and meal cards and no copayments
  • Extended maternity and paternity leave
  • Childcare or nanny allowance for children up to 6 years and 11 months old
  • Allowance for employees with children with disabilities, with no age limit
  • Life insurance
  • Private pension plan with employer contributions of up to 7% of salary
  • Training platform—Sicredi Aprende—with a variety of courses
  • 40-hour workweek using a time bank system
  • Remote-work allowance (except for positions that are 100% on-site)