As a Senior Data Engineer, you will design and scale data platforms, develop robust data architecture, ensure data quality, and collaborate with teams to support business goals.
Available Locations: Lisbon
About the role:
We are looking for Senior Data Engineers to join our growing Data Insights team at Cloudflare and help design and scale data platforms that power decision-making across the business. Success in this role comes from marrying a strong data engineering background with product and business acumen to deliver scalable data pipelines and solutions that can self-service analytics and high-impact business outcomes in a simple and agile manner
What You'll Do:
What You'll Bring:
About the role:
We are looking for Senior Data Engineers to join our growing Data Insights team at Cloudflare and help design and scale data platforms that power decision-making across the business. Success in this role comes from marrying a strong data engineering background with product and business acumen to deliver scalable data pipelines and solutions that can self-service analytics and high-impact business outcomes in a simple and agile manner
What You'll Do:
- Design and implement data solutions that span across on-premise, cloud, or hybrid environments, ensuring scalability, security, and compliance across infrastructure boundaries
- Develop and maintain robust data architecture and infrastructure for capturing, managing, storing, and utilizing structured and unstructured data from internal and external sources
- Create technical tools and automation that leverage big data techniques to cleanse, organize, and transform data, while ensuring data quality and integrity
- Collaborate closely with cross-functional teams-including Engineering, Product, Finance, Sales, Marketing, and Customer Experience-to align data initiatives with business needs
- Ability to design application components and evolve architecture including UI, API/Services, Data Access, Integration, Application components etc
- Work directly with business and product stakeholders to ensure data solutions meet business objectives and deliver high-quality outcomes
- Analyse platform requirements and provide support for Data Science teams and their workflows
- Build and maintain tools to automate platform monitoring, proactively scale infrastructure, and resolve issues before they impact performance
What You'll Bring:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Experience implementing and maintaining hybrid data architectures, including data synchronization and security across on-prem and cloud environments
- 5+ years of experience in big data engineering, working with petabyte-scale datasets and building large-scale data solutions
- Proven experience with tools and technologies such as Google Cloud Platform, Apache Spark, Airflow, Kafka, Scala, and Python
- Strong backend development skills, preferably in Go (Golang) and/or Python
- Familiarity with CI/CD pipelines and automation frameworks
- Hands-on experience with containerization and orchestration tools like Docker and Kubernetes
- Strong problem-solving skills and a proactive, collaborative mindset
- Experience in the Internet security industry is preferred
Top Skills
Airflow
Spark
Docker
Go
Google Cloud Platform
Kafka
Kubernetes
Python
Scala
Cloudflare Austin, Texas, USA Office
405 Comal St, Austin, TX, United States, 78702
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