Step into an exciting role with an innovative e-learning software company in the EdTech space as a Data Engineer. The company 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.
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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, 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.
Requirements
- 5+ 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 customer, product, marketing, or revenue data.
- Knowledge of data governance, privacy, and compliance frameworks such as GDPR.
- Strong problem-solving skills, ownership mindset, and attention to detail.
Nice to have
- 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.
Work Conditions
- Hybrid Working Policy: 3 days on-site / 2 days Work from Home (WFH) split.
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!
