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.
A leading global digital banking platform and one of the largest neobanks in Latin America, headquartered in Brazil. The company provides a mobile-first suite of financial services—including credit cards, savings accounts, and investments—designed to eliminate bureaucracy and high fees. By leveraging advanced data analytics and a customer-centric digital infrastructure, the organization delivers transparent and accessible financial solutions to millions of users across Brazil, Mexico, and Colombia.
What You’ll Do- Design, develop, and maintain scalable, production-grade data pipelines.
- Transform, integrate, and model data from multiple sources to support analytical and business use cases.
- Develop and optimize data processing solutions using Scala and Apache Spark.
- Design and implement reliable data models following modern data engineering and analytics best practices.
- Implement automated data quality, testing, monitoring, and observability practices.
- Troubleshoot production issues, investigate root causes, and optimize pipeline and platform performance.
- Build reliable and maintainable solutions with a strong focus on scalability, efficiency, and operational excellence.
- Collaborate closely with Data Engineers, Software Engineers, Analytics teams, Product teams, and other stakeholders.
- Take ownership of technical solutions throughout the full lifecycle, from design and development through production support.
- Leverage AI-assisted development tools to accelerate coding, testing, troubleshooting, documentation, and other engineering activities while applying sound technical judgment.
- Contribute to engineering best practices, technical standards, and continuous improvement initiatives.
- Produce technical documentation and support knowledge sharing across engineering teams.
- Professional experience in Data Engineering or Analytics Engineering.
- Proven experience building and operating production-grade data pipelines.
- Advanced knowledge of SQL, including complex queries and data transformations.
- Professional experience developing with Scala.
- Hands-on experience with Apache Spark or a similar distributed data processing framework.
- Strong understanding of data modeling and analytical data structures.
- Experience implementing data quality and data validation practices.
- Strong troubleshooting and production support experience.
- Strong analytical and problem-solving skills.
- Experience working in collaborative, cross-functional engineering environments.
- Good communication skills and ability to clearly communicate technical concepts and solutions.
- Experience with Lakehouse architectures.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Experience with CI/CD pipelines and modern software engineering practices.
- Knowledge of Data Governance principles and practices.
- Experience with Infrastructure as Code (IaC) tools such as Terraform.
- Experience working with large-scale data platforms and distributed data processing environments.
- Experience with data observability and monitoring tools.
- Experience with automated testing for data pipelines.
- Familiarity with modern AI-assisted development tools and workflows.
Intermediate/Upper-Intermediate
Location: São Paulo, Brazil
Worktype: Hybrid.
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
- Compensation details are shared with candidates at the early stage of the recruitment process.
- The offer is not binding until a signed contract is in place.
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
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.
Skills Required
- Professional experience in Data Engineering or Analytics Engineering
- Proven experience building and operating production-grade data pipelines
- Advanced knowledge of SQL, including complex queries and data transformations
- Professional experience developing with Scala
- Hands-on experience with Apache Spark or a similar distributed data processing framework
- Strong understanding of data modeling and analytical data structures
- Experience implementing data quality and data validation practices
- Strong troubleshooting and production support experience
- Strong analytical and problem-solving skills
- Experience working in collaborative, cross-functional engineering environments
- Good communication skills and ability to clearly communicate technical concepts
- English level: Intermediate/Upper-Intermediate
- Experience with Lakehouse architectures
- Experience with cloud platforms (AWS, Azure, or GCP)
- Experience with CI/CD pipelines and modern software engineering practices
- Knowledge of Data Governance principles and practices
- Experience with Infrastructure as Code tools such as Terraform
- Experience with data observability and monitoring tools
- Experience with automated testing for data pipelines
- Familiarity with modern AI-assisted development tools and workflows
Exadel Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Exadel and has not been reviewed or approved by Exadel.
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Fair & Transparent Compensation — Pay is considered competitive for certain roles and locations, with timely and predictable payroll practices. Compensation ranges align to market in higher‑cost geographies and senior tracks, indicating offers can be strong when role and market justify it.
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Healthcare Strength — U.S. medical insurance options are described positively, with health coverage and PTO called out as standouts. Company materials and third‑party listings consistently include comprehensive healthcare as a core benefit.
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Wellbeing & Lifestyle Benefits — Flexible, remote‑first norms and outcome‑based work are positioned as core benefits. Learning support such as paid certifications, courses, and conferences is emphasized, alongside a well‑being program.
Exadel Insights
What We Do
For more than 20 years, Exadel has been delivering Digital Transformation services, enterprise and custom software solutions for Fortune 500 clients, including HPE, Deloitte, Home Depot and McKesson. With 20+ locations and delivery centers across the US and Europe, Exadel solves the most complex engineering problems using Agile methodologies, offering a scalable and skilled mix of multi-shore resources at the industry's most competitive price. Exadel’s digital transformation solutions and services help chart new strategies that are built upon creative thinking, cutting-edge design, and technical innovation, designed for the growing digital landscape of business. Enterprise Services - Digital Transformation Experts - Developing mission-critical software and mobile applications - Advising companies on how best to leverage open source technology - Helping companies plan and implement migrations to better technology stacks - Providing QA, automation, and testing services for application development - Supporting and maintaining applications and systems for companies - Providing on-line training and mentoring to companies - Assisting companies in evaluating their current enterprise software architecture and planning for improvements or new systems.
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