Nubank Data Infrastructure Engineers in Berlin might solve the following problems...

• Work on a self-service data infrastructure ecosystem that powers all data-assisted decisions across Nubank
• Refine the data platform to enable a broader set of data applications such as streaming systems and online ML models
• Improve user-experience and platform predictability through work on monitoring, automation, and system reliability
• Remove bottlenecks and improve performance, at times by redesigning critical components from scratch
• Triage bugs and exceptions reported in production and conduct system load/stress tests

Candidates

We are looking for Data Infrastructure Engineers with a solid track record of creating efficient, scalable, and accessible solutions, preferably in the domain of data infrastructure and tooling. You will have a meaningful chance to shape architecture, process, and culture while working with leading-edge technologies. We believe in cultivating good inter and intra-team chemistry, enthusiasm for building things, and exercising the amazing capacity to learn new things when we stay humble and open-minded. English language skills are essential.

You will fit well if you have:

• Hands-on experience building and operating large-scale distributed data processing infrastructure
• A deep understanding of data processing frameworks (e.g., based on Spark, Kafka Streams, Flink)
• Experience maintaining large codebases and abstracting complexities from internal users
• Passion for making the inner workings observable and experience improving stability and performance
• Experience with RESTful API oriented design and modular service-oriented architecture

Experience with the following is desirable:

• Experience operating systems with high stability requirements
• Experience running infrastructure as code (e.g. Ansible, Terraform, CloudFormation)
• SQL/NoSQL databases (e.g. PostgreSQL, MySQL, Datomic)
• Experience with monitoring and logging tools (like Prometheus, Splunk, and Grafana)
• Experience writing and operating production-ready services in a functional programming language (like Clojure)

Diversity and Inclusion at Nubank

We want to have a product for everyone, and we build strong and diverse teams that rise to the challenge. We are a team of the most creative people in technology, and we hire under equal opportunity, irrespective of gender, ethnicity, religion, sexual orientation, or background. We are proud to say that 30% of Nubankers recognize themselves as part of the LGBTQ+ community, and 40% of our team comprises women in all positions and seniority levels. We are a very process-light organization that values human interactions, and that is an essential part of our culture. At Nubank, everyone has the opportunity to speak up and participate, grow, and share ideas.

About the Berlin team

Nubank’s Berlin office hosts the data infrastructure platform team. We’ve built a self-service data processing platform from scratch that empowers everyone at our company to build, process, and query datasets that help push forward their work. Our main users include data analysts, data scientists, business analysts, backend, and data engineers. The team is focused on building well-thought-out and documented user APIs, backed by scalable data ingestion, processing, and serving systems. We make heavy use of Spark and Scala for our data processing systems, but you will also find Clojure microservices, Mesos, Aurora, and Airflow. You will also be in touch with DynamoDB, PostgreSQL, and Datomic for databases, Tekton CI/CD, monitoring/logging with Prometheus and Splunk, and asynchronous communication using Kafka.