Senior Analytics Engineer - Build Our Revenue Data Platform

Scrambly; France; Sur place; EUR 85 000 - 120 000; Plein temps

Avantages offerts par ce poste

Impact on revenue

Growth opportunities

Close collaboration with Head of Data

Bootstrapped company

Résumé du poste

Scrambly is hiring a Senior Analytics Engineer to build and run the data platform powering the commercial side of the business. You will transform raw events and advertiser feeds into trusted tables and use them to size opportunities and set thresholds.

This early-stage data team role offers ownership, autonomy, and close collaboration with product and commercial teams. You will shape pipelines, optimize warehouse costs, and influence decisions with robust testing and scalable data practices.

Qualifications

• 3+ years in analytics engineering or related roles with production pipelines.
• Strong SQL skills and data modelling capabilities for warehouse design.
• Experience with Google Cloud platform and cloud data tooling.

Responsabilités

• Build and maintain analytical pipelines from raw events to trusted tables.
• Analyse commercial questions and translate findings into actionable recommendations.
• Take ownership of existing pipelines and keep them running in production.
• Improve data testing, assertions, and alerting to pre-empt issues.
• Collaborate with data scientists, backend, and commercial teams to deliver impact.

Connaissances

SQL

Data modelling

Python

Analytical judgement

Self-directed work

Curiosity

Outils

BigQuery

Dataform

Cloud Functions

Cloud Scheduler

Pub/Sub

IAM

Git

Description du poste

Scrambly is hiring a Senior Analytics Engineer to build and run the data platform powering the commercial side of the business. You will transform raw events and advertiser feeds into trusted tables and use them to size opportunities and set thresholds.

This early-stage data team role offers ownership, autonomy, and close collaboration with product and commercial teams. You will shape pipelines, optimize warehouse costs, and influence decisions with robust testing and scalable data practices.