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Data Engineer

Worldwide leader in the spirits industry with €11.6 Billion in sales, producing premium brands like Absolut, Chivas Regal, and Martell.
Data
Senior Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
Enterprise SaaS · Consumer

Description For Data Engineer

Pernod Ricard, a global leader in the spirits industry, is seeking a Data Engineer to join their innovative Tech team in Paris. This role offers a unique opportunity to work with iconic brands in a borderless 'one Tech team' environment. The position involves building the data product ecosystem while working alongside Data Product Owners, Domain Analysts, Architects, and BI & Analytics Engineers.

The role requires expertise in data engineering, working with technologies like Snowflake, Azure, Databricks, and Python. You'll be responsible for implementing data products, developing end-to-end pipelines, and ensuring data quality from bronze to gold level. The position offers significant impact in shaping global technology advancements for well-known brands.

Working from their HQ in central Paris, you'll connect with experts worldwide in an agile, collaborative environment. The company offers an attractive hybrid work arrangement with 2 days work-from-home, comprehensive benefits including mutual insurance, profit-sharing, and continuous learning opportunities.

The ideal candidate brings 5+ years of experience in data engineering, strong technical skills, and excellent communication abilities. This role presents an excellent opportunity for someone looking to make a significant impact in a global company while working with cutting-edge technologies and maintaining work-life balance.

Last updated 12 days ago

Responsibilities For Data Engineer

  • Engage with key stakeholders to identify data requirements for specific data/tech products
  • Design, build & maintain systems that capture, collect, manage, and convert raw data
  • Develop mechanisms to ingest, analyze, validate, normalize and clean data
  • Implement & maintain procedures to secure data accessibility & quality
  • Secure effective integration of built models/systems within PR environment
  • Support data teams and share relevant insights/expertise
  • Provide data engineering best practices
  • Participate in transversal data engineering initiatives

Requirements For Data Engineer

Python
  • At least 5 years of professional experience
  • Experience with Snowflake, Azure, Databricks, Python, PySpark
  • Core Data Engineering skills including data extracting & storage
  • Mastery of data governance, architecture & security principles
  • Background in software engineering/development
  • Knowledge of innovative technologies such as RPA, MAL
  • Strong communication skills
  • Experience with Agile ways of working

Benefits For Data Engineer

Medical Insurance
  • Work from home (2 days a week)
  • Complete mutual insurance
  • Attractive compensation including profit-sharing
  • Daily training opportunities
  • Employee events

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