Mid-Level Internal Audit Data Engineer

🔥 14 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sicredi

WebsiteLinkedInAll Job Openings

10,000+ employees

🛡️ Insurance

📦 Logistics

💼 Consulting

Insurance • Logistics • Consulting

Sicredi is a cooperative financial institution based in Brazil that offers a wide range of financial services, including personal and business banking, investments, insurance, and credit solutions. With over 9 million members, Sicredi emphasizes community development by reinvesting resources locally and providing personalized services to its clients. The institution operates more than 2,800 branches nationwide, focusing on a humanized approach to finance and supporting the agribusiness sector alongside individuals and businesses.

📋 Description

• 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

• 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

• 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)