Data Engineer: Scalable Pipelines & AI-Driven Data

ManoMano; Paris; Sur place; EUR 55 000 - 75 000; Plein temps

Résumé du poste

ManoMano is seeking a Data Engineer to join our Data Engineering Team in Paris. You will design and own scalable data pipelines across our Data Platform, ensuring reliability and observability while handling data from warehouses, APIs, and event streams.

You will work with Snowflake, Airflow, Python, S3, and Kafka, collaborating with stakeholders to anticipate data needs and improve data quality. 2–4 years of production experience and strong SQL/Python are required; prior exposure to AI-assisted

Qualifications

• 2 to 4 years of experience in Data Engineering in production-grade environments.
• Strong command of SQL and Python.
• Solid understanding of data modeling and pipeline architecture.
• Experience with performance optimization.
• Good communication and proactive problem-solving.
• Familiarity with AI-assisted development tools.

Responsabilités

• Design scalable, reliable, high-performance data pipelines across our Data Platform ecosystem.
• Take ownership of critical data domains, ensuring end-to-end reliability, observability, and performance.
• Apply and improve data quality frameworks to ensure trustworthy datasets.
• Collaborate with stakeholders to anticipate data needs and propose solutions.
• Contribute to the evolution of our Data Platform strategy, including tooling choices and architecture.
• Participate in incident response and root cause analysis on data issues for fast recovery.
• Share knowledge and best practices with the team to raise engineering standards.

Connaissances

Data engineering

SQL

Python

Data modeling

Data pipelines

Observability

AI tools

Communication

Stakeholder management

Outils

Snowflake

Airflow

Kafka

S3

Description du poste

ManoMano is seeking a Data Engineer to join our Data Engineering Team in Paris. You will design and own scalable data pipelines across our Data Platform, ensuring reliability and observability while handling data from warehouses, APIs, and event streams.

You will work with Snowflake, Airflow, Python, S3, and Kafka, collaborating with stakeholders to anticipate data needs and improve data quality. 2–4 years of production experience and strong SQL/Python are required; prior exposure to AI-assisted