easygenerator - Data Engineer
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Requirements
• 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. • 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. • READY TO JOIN US? • 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!
Responsibilities
• 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. • 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.
Benefits
• 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.
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