Senior Analytics Engineer Job at Ledger (Paris)

Senior Analytics Engineer

Ledger

Location:
France , Paris

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

The Data team is responsible for leveraging data to drive strategic business decisions and enhance our product offerings. As a core member, you will be responsible for end-to-end data projects—from defining metrics and building robust data pipelines to deploying analytical models. Your insights will be essential for monitoring company performance, understanding user behavior across various protocols, and contributing directly to Ledger's growth and security strategies.

Job Responsibility:

Design, build, and maintain robust, scalable data pipelines (ELT) using dbt and Airflow, ensuring our Snowflake warehouse is optimized for both performance and clarity
Bridge the gap between raw, unstructured technical data (including on-chain events) and clean, actionable business entities
Act as a technical partner to Product, Engineering, and Finance teams, translating high-level business questions into technical requirements and analytical frameworks
Implement version control, CI/CD for data, and automated testing to ensure the highest levels of data quality and reliability
Perform deep-dive analyses to track revenue, identify user segments, and optimize product features.

Requirements:

4+ years (Senior level) of professional experience in Analytics Engineering, Data Engineering, or a Data Science role
Exceptional proficiency in SQL
Comfortable with complex window functions, performance tuning, and modeling in Snowflake
Deep experience with dbt (data modeling, macros, testing) and workflow orchestrators like Airflow
Strong programming skills in Python for data manipulation, automation, and building data-intensive applications
Engineering Mindset: You treat data code like software—version control (Git), documentation, and modularity are second nature to you.

Nice to have:

Curiosity for Web3
Experience with time-series analysis, anomaly detection, or predictive modeling
Any previous experience with on-chain data (e.g., Dune Analytics, Flipside, or indexing protocols) is a major advantage.

What we offer:

Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week
Health & Wellness support - Health and Life Insurance
Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work
Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation
Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee.

Additional Information:

Job Posted:
February 16, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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