Hybrid Analytics Engineer

at In Tandem

• Job title: Analytics Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Python, SQL, Unity
• Location requirements: Hybrid, Paris, France

About the role

• Analytics Engineer to architect the foundation for Databricks Genie at In Tandem. Design semantic layers and metrics framework for governed, AI-ready insights across the company.

Responsibilities

• Design and implement medallion architecture (bronze/silver/gold) in Databricks.
• Redesign reporting tables into star-schema dimensional models across key domains.
• Build and govern semantic and metrics layers using dbt Core and Unity Catalog.
• Consolidate and standardize 50+ legacy metric definitions into a unified, versioned framework.
• Establish data governance, testing, and CI/CD workflows for reliable deployment.
• Partner with data engineers to optimize compute, storage, and query performance.
• Collaborate with business analysts on A/B testing, LTV modeling, and product analytics.
• Develop AI-ready datasets and metric views that power Genie and other ML applications.
• Support ad-hoc analysis and experimentation with clear, statistically sound insights.

Requirements

• 3+ years in analytics engineering, data modeling, or advanced analytics.
• Expert in SQL and dbt Core, with proven experience in dimensional modeling.
• Strong understanding of Databricks and Unity Catalog.
• Familiarity with Git, CI/CD, and analytics testing frameworks.
• Strong business acumen — you translate metrics into meaningful action.
• Experience with A/B testing, statistical inference, or causal analysis (preferred).
• Python proficiency for analytics and light modeling (preferred).
• Knowledge of AI coding best practices and data readiness for LLMs (preferred).
• Experience enabling self-service analytics through governed semantic layers (preferred).

Benefits

• **Required**
• 3+ years in analytics engineering, data modeling, or advanced analytics.
• Expert in SQL and dbt Core, with proven experience in dimensional modeling.
• Strong understanding of Databricks and Unity Catalog.
• Familiarity with Git, CI/CD, and analytics testing frameworks.
• Strong business acumen — you translate metrics into meaningful action.
• **Preferred**
• Experience with A/B testing, statistical inference, or causal analysis.
• Python proficiency for analytics and light modeling.
• Knowledge of AI coding best practices and data readiness for LLMs.
• Experience enabling self-service analytics through governed semantic layers.