Hermès Lead Data Engineer

Paris • France

Wednesday, December 18, 2024

Hermès, established in 1837, is a prestigious French family-owned and independent company, renowned for its craftsmanship and high-quality products. With a workforce of nearly 20,000 employees globally, Hermès is driven by a continuous entrepreneurial spirit and a commitment to excellence. The company fosters freedom and autonomy through responsible management, maintaining strong territorial roots and respecting both people and nature. Hermès' creativity is fueled by fifteen artisanal métiers, with collections showcased in over 300 stores worldwide. As part of its digital evolution, Hermès offers a sophisticated e-commerce platform, enhancing its omnichannel customer journey across 34 sites.

1. Lead the industrialization of the data platform infrastructure on Google Cloud Platform (GCP).
2. Oversee the deployment and maintenance of dedicated environments (Dev/Preprod/Production).
3. Automate deployment and maintenance using infrastructure as code tools like Terraform on GCP.
4. Implement observability solutions (monitoring, alerting) within GCP.
5. Guide the Data team in data transformation activities, including maintaining data pipelines in Python (batch and stream).
6. Develop SQL/SQLX transformation pipelines in DataForm.
7. Establish and maintain data quality tools (e.g., Great Expectations in Python).
8. Assist in developing workers in AWS to retrieve data from Kafka and send it to PubSub in GCP.
9. Collaborate with the data team to standardize codebase (linting, CI/CD, various tests).
10. Maintain and create architecture schemas and internal process documentation.
11. Collaborate with other Data teams: data analysts, SEO/SEA, and emailing.
12. Ensure data privacy and security in compliance with GDPR and internal policies.

1. Minimum 7 years of experience in Data Engineering roles.
2. Master's degree in Engineering, Big Data, Mathematics, or equivalent.
3. Sensitivity to digital e-commerce challenges.
4. Strong organizational, meticulous, curious, and autonomous nature.
5. Excellent written and verbal communication skills in English.
6. Ability to self-learn technical aspects.

1. Proficiency in Python and SQL is essential.
2. Experience in collaborative code development (DevOps) is desired.
3. Familiarity with streaming technologies (Apache Beam, DataFlow, Kafka, PubSub, SNS/SQS) is necessary.
4. Experience with BigQuery is highly recommended.
5. Knowledge of GCP tools (or equivalent cloud platforms) is highly recommended.
6. Experience with ETL tools (Cloud DataPrep, DataIku, Alteryx) is a plus.
7. Knowledge of machine learning is a plus.

A minimum of 7 years in Data Engineering roles, with a focus on digital and e-commerce environments.

Master's degree in Engineering, Big Data, Mathematics, or equivalent.

Joining Hermès offers the opportunity to be part of a prestigious brand known for exceptional products. Employees are at the heart of exciting projects, within a supportive team that values data quality and personal growth. The role offers significant autonomy and encourages initiative.

Hermès is characterized by a culture of excellence, creativity, and innovation, deeply rooted in its artisanal heritage. The company values responsible management, fostering an environment of freedom and autonomy. Employees are encouraged to take initiative and contribute to the brand's legacy of quality and craftsmanship.