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 Revenue, Product, Marketing, and Business Intelligence.
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, 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 Revenue Operations, Product, Marketing and BI teams to deliver impactful data solutions.
Optimize platform performance, reliability, and cost efficiency.
3+ years of Data Engineering experience.
Strong expertise in Snowflake, including architecture, performance optimization, governance, and security.
Experience with AWS Glue (PySpark), ETL/ELT pipelines, and workflow orchestration.
Advanced SQL and Python skills.
Experience with PostgreSQL, MongoDB, Amazon S3, and modern cloud data architectures.
Strong understanding of data modelling, warehousing, and analytics engineering practices.
Experience integrating SaaS platforms and revenue data across customer, product, and marketing functions.
Knowledge of data governance, privacy, and compliance frameworks such as GDPR.
Strong problem-solving skills, ownership mindset, and attention to detail.
Experience in a B2B SaaS environment.
Power BI experience, including data modeling and DAX.
Experience with Snowflake Cortex AI and AI-powered analytics solutions.
Knowledge of marketing attribution and revenue analytics.
Experience with Streamlit, Mixpanel, or similar analytics tools.
If you're passionate about building modern data platforms and helping teams make smarter decisions with data, we'd love to hear from you. Apply today!
Skills Required
- 3+ years of Data Engineering experience
- Strong expertise in Snowflake (architecture, performance optimization, governance, security)
- Experience with AWS Glue (PySpark)
- Experience building ETL/ELT pipelines and workflow orchestration
- Advanced SQL skills
- Advanced Python skills
- Experience with PostgreSQL
- Experience with MongoDB
- Experience with Amazon S3 and cloud data architectures
- Experience integrating SaaS platforms (Salesforce, Mixpanel, Segment, Customer.io, Intercom, Google Analytics, LinkedIn Ads)
- Strong understanding of data modelling, warehousing, and analytics engineering practices
- Knowledge of data governance, privacy, and compliance frameworks such as GDPR
- Implement data quality, monitoring, governance, and security best practices
- Strong problem-solving skills and ownership mindset
What We Do
We believe everyone should be able to turn their knowledge into training—easily, quickly, and at scale. Why? Because your employees know your company best. They hold the company-specific knowledge that drives day-to-day success. And when they can share that knowledge, your whole organization grows stronger. That's why we built a user-friendly e-learning authoring tool that helps organizations unlock their teams' expertise. Today, over 50,000 people use Easygenerator to create e-learning tailored to their business. Whether you're in Learning & Development, HR, or any other department, you don't need design or technical experience to get started. You can share your knowledge from day one. That's why more than 2,000 companies use Easygenerator to democratize learning: Danone, Electrolux, Sodexo, and many more. As the first e-learning authoring solution to launch AI-powered course creation, we've kept our focus clear: help people quickly turn knowledge into training. With a little help from AI, course creation feels less like work and more like getting things done. It's working: we consistently win awards and earn top ratings on user-review platforms like G2. And because we want to make it as easy for our users as possible, when you need help, we're here. You can chat instantly with our support team—real people ready to assist you in over 120 languages.
