Senior Analytics Engineer - Scale Data Pipelines & Insights

Lever, Inc.; France; Sur place; EUR 71 000 - 106 000; Plein temps

Avantages offerts par ce poste

Stock options

Fully remote

Unlimited vacation

WFH stipend

Apple laptop

Annual training budget

Maternity/Paternity leave

Team offsites

Résumé du poste

Lever, Inc. is seeking a Senior Analytics Engineer based in France to transform billions of daily events into reliable data products.

You will design pipelines, models, dashboards, and analytics tools enabling data-driven decisions across teams, with SQL, Python, and distributed data systems at scale. This fully remote, international role offers exposure to ecommerce, search, personalization, and AI, collaboration with analysts, engineers, and product managers, and ownership of analytics domains

Qualifications

• Strong experience building data pipelines and production-grade data solutions.
• Expert-level SQL with large-scale datasets and distributed systems.
• Strong Python for data processing, automation, analytics, or tooling.
• Experience with modern analytics stacks such as dbt and Airflow.
• Ability to define and communicate meaningful business metrics.

Responsabilités

• Design, build, and maintain scalable data pipelines and models.
• Develop dashboards and analytics tools for decision-making.
• Collaborate with stakeholders to define meaningful metrics.
• Ensure data quality, consistency, and performance across systems.
• Translate business questions into robust data models and tools.
• Work with SQL, Python, and distributed data tech at scale.
• Own analytics domains end-to-end and drive improvement.
• Contribute to analytics infrastructure and tooling.

Connaissances

SQL

Python

dbt

Airflow

Distributed data

Data modeling

Analytics tooling

Stakeholder communication

Ecommerce metrics

Big data

Outils

dbt

Airflow

Snowflake

Description du poste

Lever, Inc. is seeking a Senior Analytics Engineer based in France to transform billions of daily events into reliable data products.

You will design pipelines, models, dashboards, and analytics tools enabling data-driven decisions across teams, with SQL, Python, and distributed data systems at scale. This fully remote, international role offers exposure to ecommerce, search, personalization, and AI, collaboration with analysts, engineers, and product managers, and ownership of analytics domains