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 implementation.

Highest-signal resume keywords

Data Pipeline DevelopmentSQLPythonData LakesETL/ELT Tools

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Hard Skills

Data EngineeringData ModelingData TransformationData GovernanceData Quality AssuranceAnalytical Systems ArchitecturePerformance OptimizationAutomation PracticesRelational DatabasesNon-Relational Databases

Soft Skills

LeadershipCommunicationProactivityInterpersonal SkillsEagerness to Learn

Tools & Technologies

DatabricksAWSKafkaGitLabConfluenceJiraAgile Methodologies

Certifications & Qualifications

Data Engineering CertificationCloud Computing CertificationAI CertificationAnalytical Tools Certification

Industry Keywords

Data GovernanceCompliance StandardsAuditRisk ManagementData Ingestion

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 structuring of analytical pipelines aligned with Internal Audit needs.
Collaborate with data visualization and analytics teams, supporting efforts to derive value from information and build analytical environments.
Participate in the analysis and modeling of internal systems, proposing efficient strategies for capturing, transporting, and processing information.
Monitor and improve data system performance, proposing metrics and continuous improvement strategies.
Lead technical 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 postgraduate 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 desirable.
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 inputs.
Knowledge of defining and tracking technical and operational performance indicators.
Leadership and communication skills.
Proactivity.
Eagerness to learn.
Interpersonal skills.
Intermediate English is a plus.
Certifications in data engineering, cloud computing, AI, or analytical tools are a plus.

Benefits

Comp & perks

14th and 15th fixed salaries
Profit-sharing payments (according to seniority)
Health and dental insurance with no copayments
Well-being programs through Wellhub (formerly Gympass), including nutrition, psychological support, workplace exercise, massage, running group, and local gym access
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 assistance for children up to 6 years and 11 months old
Assistance for 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 wide range of courses
40-hour workweek using a time-banking system
Remote-work allowance (except for positions that are 100% on-site)
Remote-work arrangement for positions in the Tech area