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
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