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Lead Analytics Engineer
DataForge
📍 Remote (EU)
📅 Full-time
📁 Data
Posted: 2026-06-04

About the Role

Join DataForge and be part of a team redefining what is possible in data. We are well-funded with the resources of a scale-up and the speed of a startup. As a Lead Analytics Engineer, you will have real ownership, meaningful impact, and the flexibility to work how you work best.

What You'll Do:
- Design and optimize data warehouse schemas for performance
- Document data assets and maintain data catalog accuracy
- Partner with engineering to integrate data products into the platform
- Drive experimentation frameworks and A/B testing infrastructure
- Create dashboards and reports for business stakeholders
- Collaborate with analysts and engineers to define data models
- Build and maintain robust data pipelines and ETL workflows

What We're Looking For:
- Strong organizational and cross-functional collaboration skills
- Track record of defining and executing on strategic initiatives
- 7+ years of progressive experience in your field
- Experience leading and growing high-performing teams

What We Offer:
- Parental leave and family-friendly policies
- Health, dental, and vision insurance (or stipend for international hires)
- Company-wide team retreats twice per year
- Unlimited PTO and company-wide recharge days
- Fully remote — work from anywhere in the world

To apply, send your resume and a short note about why you are excited about this role. We review every application and respond within 5 business days.

Required Skills

SparkAirflowSnowflakeRedshiftTensorFlowAWS

Ready to Apply?

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Salary Range
$140k-$180k
Per year • Remote