About Us

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

‍

We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us!

‍

Role Location: Lisbon, Portugal

‍

About the team  

The Data Analytics & Intelligence team at Cloudflare is responsible for building and managing the cloud data analytics platform. Our focus is on developing a centralized cloud data analytics platform using open source technologies for internal Business Partners and Machine Learning teams. The team aims to make data more accessible, meet Cloudflare's critical business needs, and provide self-service reporting and analytics tools to support current and new business initiatives.

‍

About the role

In the role of Data Engineer, the primary responsibility is to contribute to building and improving a scalable petabyte-scale data lake and Cloud Enterprise Data Warehouse. This involves utilizing a modern tech stack from scratch with open source technologies. Success in this position requires a strong background in data engineering, combined with product and business acumen, to deliver scalable data pipelines and analytics solutions that empower advanced analytics through a user-friendly self-service interface.

‍

What you will do

• Partner closely with internal stakeholders to gain a strong understanding of business and product data needs
• Design, build and support scalable and reliable data solutions that can enable self-service reporting and advanced analytics using open source technologies
• Develop technical tools and programming that leverage machine learning and big-data techniques to cleanse, organize and transform data and to maintain and update data structures and integrity on an automated basis
• Design application components and evolve architecture: API/Services, data access, integration, application components, etc.
• Analyze and support platform requirements for Data Science team
• Implement automation tools and frameworks (CI/CD pipelines)
• Build tools to automate the monitoring or workload and take proactive measure to scale the platform or to fix the problem
• Mentor junior data engineers

‍

Examples of desired skills, knowledge, and experience

• Proven ability to work closely with business and product teams to ensure data solutions are aligned with business initiatives and are of high quality
• 2-5 years of development experience in Big Data space working with Petabytes of data and building large scale data solutions using any Cloud Platform, Apache Spark, Airflow, Scala, Golang, Python, etc
• Experience with API design and development of RESTful web services or GraphQL is a plus
• Working experience in Kubernetes, Docker etc. is a plus
• Bachelor’s or Master’s Degree in Computer Science or Engineering or related experience required

‍