Analytics Engineer — Data Platform Leader (Paris, Hybrid)

Riot Security Inc.; Paris; Hybride; EUR 70 000 - 90 000; Plein temps

Résumé du poste

Riot Security Inc. is seeking an Analytics Engineer to join the Data team. You will design and maintain data models, pipelines, and analytics solutions that scale with Riot's growing platform.

You will structure the analytics codebase, define modeling standards, and collaborate with Sales, Marketing, Product, and G&A to deliver reliable data assets. You will ensure data quality and traceability across pipelines, implementing automated tests and monitoring while exploring innovative data

Qualifications

• 2+ years of experience in data engineering or analytics engineering.
• Strong SQL skills and dbt experience.
• Experience with modern data warehousing like Snowflake, BigQuery, or Redshift.
• Ability to set modeling standards and enforce them.
• Strong data quality and reliability mindset.

Responsabilités

• Design, build, and maintain data models, processing pipelines, and analytics solutions.
• Structure and organize the analytics codebase and enforce standards.
• Build clear, well-documented data assets and collaborate with Sales, Marketing, Product, and G&A teams.
• Ensure data quality, reliability, and traceability with validation, testing, and monitoring.
• Explore and implement innovative data engineering solutions for analytics and data infrastructure.

Connaissances

SQL

Data modeling

Data quality

Communication

Outils

dbt

Snowflake

BigQuery

Redshift

Description du poste

Riot Security Inc. is seeking an Analytics Engineer to join the Data team. You will design and maintain data models, pipelines, and analytics solutions that scale with Riot's growing platform.

You will structure the analytics codebase, define modeling standards, and collaborate with Sales, Marketing, Product, and G&A to deliver reliable data assets. You will ensure data quality and traceability across pipelines, implementing automated tests and monitoring while exploring innovative data