Easygenerator
Product
DataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Engineer at Easygenerator”
Industry & Context.
Full Job Description
JOIN EASYGENERATOR AND BUILD THE DATA PLATFORM POWERING THE FUTURE OF LEARNING Step into an exciting role with an innovative e-learning software company in the EdTech space as a Data Engineer. Easygenerator is a fast-growing scale-up revolutionizing e-learning with our award-winning authoring tool. Join us to build scalable data solutions that enable smarter decisions across Product, Marketing, Revenue, and Business Intelligence. WHAT'S IN IT FOR YOU? - Grow Your Career: Take ownership of our modern data platform and work on high-impact projects spanning analytics, AI, and business intelligence. - International Environment: Join a dynamic, international team (40+ nationalities) in a fast-growing scale-up where your work directly influences business outcomes. - AI-First Company: We embrace AI in both our product and internal operations. You'll gain hands-on experience with AI-powered analytics and emerging data technologies. - Learning & Development: Access continuous coaching, learning opportunities, and the freedom to explore new technologies and best practices. - Hybrid Working Policy: 3 day on-site / 2-day Work from Home (WFH) split. WHAT YOU WILL BE DOING - Build and maintain scalable data pipelines and infrastructure using Snowflake, AWS Glue, and modern ETL/ELT frameworks. - Integrate data from platforms such as Salesforce, Mixpanel, Segment, Customer.io http://Customer.io, Intercom, Google Analytics, and LinkedIn Ads. - Develop reliable data models, warehouses, and data lakes to support reporting and analytics. - Implement data quality, monitoring, governance, and security best practices. - Build AI-powered self-service analytics capabilities for business users. - Partner with Product, Marketing, Revenue Operations, and BI teams to deliver impactful data solutions. - Optimize platform performance, reliability, and cost efficiency. WHAT YOU WILL BRING - 5+ years of Data Engineering experience. - Strong expertise in Snowflake, including architecture, performanc
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