Data Engineering Team Lead
il y a 4 semaines
This is a permanent and hybrid role, with three days a week spent on-site at our Paris office.
As a Team Leader in Data Engineering, you will be responsible for:
- Leading and managing the Data Engineering team to ensure seamless operation of the lakehouse on Snowflake and managing data ingestion and transformation pipelines.
- Overseeing the integration of digital data on GCP with operational data stored in Snowflake.
- Organizing data collection from various systems (digital, POS, OMS, 3PL, WMS, etc.) across all territories where the company manufactures or distributes its products.
- Collaborating with the Master Data team to implement Data Quality components.
- Working closely with Product Owner and Dataviz Engineer teams to deliver the required Data Sets, while adhering to priorities, costs, and deadlines.
- Establishing a continuous improvement process.
- Preparing the Data platform for future developments, including the integration of Data Science and/or AI algorithms.
- Prioritizing tasks based on their importance, urgency, and development complexity.
- Delivering high-quality data sets within deadlines and budget constraints.
- Ensuring the daily operations of platforms run smoothly.
Technical Environment:
- ETL: Matillion (Cloud) and DBT
- Dataviz: QlikSense
- Cloud Data Platform: Snowflake on Microsoft Azure
- Languages: SQL, Python
- Product-oriented or Agile Kanban methodology
Technical Skills:
- Engineering degree or equivalent, with a minimum of 7 years of experience as a Data Engineer, including at least 2 years in team management.
- Operational proficiency in English.
- Expertise in SQL and data analysis methodologies.
Soft Skills:
- A performance-driven mindset and a "problem solver" approach, consistently focused on delivering the right solutions to support operational teams in their continuous improvement processes.
- Autonomous, detail-oriented, and enjoy sharing best practices and decision-making processes.
- Team-oriented and collaborative.
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