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Cloudflare

Senior Data Engineer, Data Insights - Lisbon

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Hybrid
Lisbon
Hybrid
Lisbon

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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

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405 Comal St, Austin, TX, United States, 78702

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Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

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