Data and Analytics Engineer

Available Locations: Lisbon, Portugal About the team
You will be part of the Network Strategy team within Cloudflare's Infrastructure Engineering department. The Network Strategy team focuses on building both external and internal relationships that allow for Cloudflare to scale and reach user populations around the world. Our group takes a long term and technical approach to forging mutually beneficial and sustainable relationships with all of our network partners.
About the role
We are looking for an experienced Data and Analytics Engineer to join our team to scale our data insights initiatives. You will work with a wide array of data sources about network traffic, performance, and cost. You'll be responsible for building data pipelines, doing ad-hoc analytics based on the data, and automating our analysis. Important projects include understanding the resource consumption and cost of Cloudflare's broad product portfolio.
A candidate will be successful in this role if they're flexible and able to match the right solution to the right problem. Flexibility is key. Cloudflare is a fast-paced environment and requirements change frequently.
What you'll do

• Design and implement data pipelines that take unprocessed data and make it usable for advanced analytics
• Work closely with other product and engineering teams to ensure our products and services collect the right data for our analytics
• Work closely with a cross functional team of data scientists and analysts and internal stakeholders on strategic initiatives
• Build tooling, automation, and visualizations around our analytics for consumption by other Cloudflare teams

Examples of desirable skills, knowledge and experience

• Excellent Python and SQL (one of the interviews will be a code review)
• B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields, or equivalent experience
• Minimum 3 years of industry experience in software engineering, data engineering, data science or related field with a track record of extracting, transforming and loading large datasets
• Knowledge of data management fundamentals and data storage/computing principles
• Excellent communication & problem solving skills
• Ability to collaborate with cross functional teams and work through ambiguous business requirements

Bonus Points

• Familiarity with Airflow
• Familiarity with Google Cloud Platform or other analytics databases