Join Nortal for your next big adventure. We are seeking a Senior Data - Reporting Engineer to join our team, grow with us, and teach us a few things along the way.
Why join Nortal
- Say Goodbye to Micromanagement: We champion autonomy, open communication, and respect for diversity as our core values.
- Outcomes Over Hours: We believe in a work model focused on impact, providing you with the flexibility to balance your professional success with your personal well-being.
- Vibrant Community: Join our close-knit LATAM remote team and connect through tech talks, virtual coffee breaks, and team-building activities.
- Support from Day One: Our People Care team is here to support you throughout your journey, from wellness check-ins to professional growth.
Our benefits ✨
- 100% remote work: While you can work from anywhere, you’re always welcome to connect with teammates and grow your network at our coworking spaces across LATAM.
- Paid time off & national holidays: Take the time you need according to your country’s regulations while receiving your full salary.
- Sick leave: Focus on your health without stress. Take the necessary time to recover and feel better.
- Annual credit: Spend it on the perks you love to enhance your work-life balance.
- Team-building activities: Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nortal family and feel part of our vibrant community.
- Birthday off: Enjoy an extra day off during your birthday week to celebrate in style with friends and family.
About the project
As a Senior Data / Reporting Engineer, you will build and maintain data pipelines and reporting services that support a global merchant base. You will work primarily with Python, SQL, AWS, and Redshift, using your data engineering expertise to develop reliable and scalable reporting solutions.
You will also leverage Java and Python backend development skills when needed. This is not a pure backend role—your primary focus will be data engineering, SQL, pipelines, and reporting, with backend development as a complementary part of your responsibilities.
What you’ll do
- Build and maintain data pipelines and reporting services for financial, payment, settlement, and transaction reporting.
- Adapt and extend existing reports based on merchant requests, managing multiple priorities and short turnaround times.
- Contribute to the development of a new self-service Reporting API that enables merchants to generate reports autonomously.
- Work autonomously by taking ownership of assigned tasks, identifying blockers early, and driving work through completion.
- Participate in on-call rotations (approximately every four weeks) and respond to production incidents when needed.
- Communicate proactively about progress, risks, and blockers to support a fast-moving engineering environment.
- Integrate AI-assisted development tools, including Claude, into daily development workflows and automated processes for development and pull request reviews.
What makes you a great fit
- Bachelor´s Degree in Computer science, Engineering or a related field.
- 5+ years of experience in data engineering and/or reporting, with a proven track record of delivering production-grade data solutions.
- Strong hands-on experience with Python and SQL, including building and maintaining data pipelines, reporting solutions, and data workflows.
- Hands-on experience with AWS data services, ideally including Redshift, in production environments.
- Ability to work autonomously, taking ownership of tasks from initial requirements through delivery while identifying dependencies and blockers early.
- Strong ownership and communication skills, with the ability to proactively share progress, raise risks, and keep work moving without requiring constant follow-up.
- Ability to manage multiple concurrent priorities and maintain a strong delivery pace in a dynamic, fast-moving engineering environment.
- Experience working in distributed teams, collaborating effectively across different locations and time zones.
- Experience working with data where accuracy, consistency, and traceability are critical, ideally within financial services, payments, fintech, or similar domains.
- Comfort with rotating on-call responsibilities, approximately once every four weeks, and supporting production systems when needed.
- Experience integrating AI-assisted development tools such as Claude, GitHub Copilot, Cursor, or similar tools into your daily development workflow.
- Java backend development experience is a strong plus, particularly building or supporting backend services.
- Experience with financial, payment, settlement, or transaction reporting data is a strong plus.
- Experience with CI/CD pipelines and modern software development practices is preferred.
- Experience with Tabit is a nice to have, as the team expects to work with this technology in the near future.
- Advanced English Level is required for this role, as you will work with US clients.
Global Impact, Local Culture 🌍
For over 25 years, we’ve been shaping digital transformation, delivering complex solutions for global enterprises and public sector organizations. Today, we are at the forefront of an AI-driven transformation era, helping organizations turn data into real business value. By combining deep domain expertise with data and AI, we design solutions that create immediate impact while scaling for the future.
We believe complexity doesn’t have to mean complicated, and that the best solutions are those that work in the real world, not just on paper. That’s why our clients trust us with their most ambitious, business-critical initiatives.
Apply now and let’s shape the future of technology together! 🧑💻
By applying to this position, you authorize Nortal to collect, store, transfer, and process your personal data in accordance with our Privacy Policy. For more information, please review our Privacy Policy. (https://nortal.com/recruitment-and-hiring-privacy-statement/)
By applying to this position, you authorize Nortal to collect, store, transfer, and process your personal data in accordance with our Privacy Policy. For more information, please review our Privacy Policy.
United States
India