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Reads like a Data Engineer role: pipelines and data infrastructure.
São Paulo, Brazil
Live, first seen by us 21 days agoBuild and maintain data pipelines, transformations and validation routines
Support financial close, reconciliations, controls and regulatory reporting
Investigate data inconsistencies and find root causes
Develop SQL queries, analyses, notebooks, dashboards and automations
Implement data quality, monitoring, governance and traceability controls
Build and maintain data pipelines, transformation processes, and validation routines
Support critical Finance processes, including financial close, reconciliations, controls, and regulatory reporting.
Investigate data inconsistencies, identify root causes, and implement solutions
Develop SQL queries, analyses, notebooks, dashboards, and automations
Implement data quality, monitoring, governance, and traceability controls.
Strong hands-on experience with SQL, combined with practical experience in data analysis, transformation, and validation.
Knowledge of Python or another programming language, with the ability to develop analytical solutions and automate processes.
Experience working with ETL/ELT pipelines, data integration, and data processing, as well as notebooks, dashboards, or BI tools.
Strong ability to translate business rules and financial or operational requirements into technical logic and data solutions.
Intermediate/Upper-Intermediate
Our customer is a leading financial technology company in Brazil, operating at the intersection of Finance, Technology, and Data.
In the employer’s words · Read in context
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Day 21
Similar jobs usually come down between day 5 and day 54.
From 10,733 similar postings that came down. Coming down is not always a hire.
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Strong hands-on experience with SQL, combined with practical experience in data analysis, transformation, and validation. - Knowledge of Python or another programming language, with the ability to develop analytical solutions and automate processes. - Experience working with ETL/ELT pipelines, data integration, and data processing, as well as notebooks, dashboards, or BI tools.
- Partner with Finance teams to understand business processes, rules, requirements, and operational needs, translating them into scalable data solutions. - Develop SQL queries, analyses, notebooks, dashboards, and automations to support Finance activities and decision-making. - Build and maintain data pipelines, transformation processes, and validation routines, ensuring reliable and traceable data.
What You Bring - Strong hands-on experience with SQL, combined with practical experience in data analysis, transformation, and validation. - Knowledge of Python or another programming language, with the ability to develop analytical solutions and automate processes.
- Knowledge of IFRS, financial close processes, and regulatory reporting. - Experience with Databricks, Apache Spark, cloud platforms, APIs, or data lakes. - Knowledge of ERP systems, general ledgers, or subledgers.
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
Our customer is a leading financial technology company in Brazil, operating at the intersection of Finance, Technology, and Data. The company leverages technology and data-driven solutions to build scalable financial operations and improve decision-making across the organization.
Intermediate/Upper-Intermediate
Work Type: Hybrid
Location: São Paulo, Brazil
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
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São Paulo, Brazil
Intermediate/Upper-Intermediate Work Type: Hybrid Location: São Paulo, Brazil
- International projects - In-office, hybrid, or remote flexibility - Medical healthcare
No clear work-authorization passage found. Eligibility is unconfirmed.