Data Engineer

About the tech team

Our global Tech team operates in an agile manner within a dynamic product organization. Immerse yourself in a collaborative environment where innovation thrives, and your contributions will play a direct role in shaping the path of our cutting-edge products. As a key player in our agile setup, you'll have the opportunity to enhance efficiency, foster creativity, and play a pivotal role in our product development process. Become part of a team that embraces adaptability and values continuous improvement, ensuring we stay at the forefront of global technology advancements.

Your key missions

You are a member of the Data Engineering Chapter and integrated in Data Product Squads working alongside with Data Product Owners, Data Domain Analysts, Data Architects and BI & Analytics Engineers. Based on data product requirements, you implement specific data products & drive the design, develop end-to-end data pipelines, design and implement relevant data models and involved in all step of data processing from bronze to gold level (cleansing, quality, monitoring, automation, refining …). Additionally, you develop & maintain required enablers and platforms in data lake environment, securing data accessibility & integrity throughout all relevant processes.

• Engage with key stakeholders to identify data requirements for a specific data/tech product
• Design, build & maintain systems that capture, collect, manage, and convert raw data into usable information, securing quality & integrity (implementation of specific software for appropriate data management...)
• Develop mechanisms to ingest, analyze, validate, normalize and clean data, supporting key user needs (standardization, customization...), build interfaces & retention models which requires synthesizing or anonymizing
• Implement & maintain relevant procedures to secure data accessibility & quality (on new data sources uncovered by data scientists...)
• Secure effective integration of built models/systems within PR environment, connecting with relevant architects/engineers, and drive continuous improvement initiatives (including maintenance...)
• Support data teams at key steps, sharing relevant insights/expertise (advice on data sourcing and preparation to data scientists, on data analytics & visualization concepts, methods & techniques...)
• Provide data engineering best practices & bring forward new ways of thinking around data to improve business outcomes
• Participate in transversal data engineering initiatives (market intelligence, cross-product/family initiatives...) as needed, and continuously develop their own skills based on industry trends/enterprise needs

If you recognize yourself in the description below, don’t wait to apply!

• Experience: at least 5 years of professional experience.
• Technology: Snowflake, Azure, Databricks, Python, PySpark
• Core Data Engineering skills, including data extracting & storage, data transform & load...
• Mastery of data governance, architecture & security principles
• Background in software engineering/development (scripting & querying...)
• Knowledge of innovative technologies such as RPA, MAL is a plus
• Strong communication skills, with the ability to talk with both technical & non-technical stakeholders
• Agile ways of working (collaboration, CD/CI...)

Wait, there’s more…

We offer you an outstanding and collaborative workplace that embodies our sharing & conviviality culture, the possibility to work from home (2 days a week), a very complete mutual insurance, an attractive compensation including profit-sharing, the possibility to train daily, employee events…

Pernod Ricard values diversity and solidarity within its organization and in its relations with stakeholders. Our recruitment methods focus on skills, and we welcome all types of talents.

Job Posting End Date:

Target Hire Date:

Target End Date: