Data Engineer

Pierre Fabre is the 2nd largest dermo-cosmetics laboratory in the world and a leading multinational specialty healthcare company. We are seeking a Data Engineer to design and implement scalable data architectures, oversee data platforms, and collaborate on Master Data Management frameworks to enhance data governance practices.

Responsibilities

• Design and implement a scalable, high-performance data architecture aligned with business objectives
• Integrate disparate data sources into a unified, reliable single source of truth
• Cascade global strategy locally while pushing the boundaries of the data and tech stack
• Enable seamless data flow between systems through robust data transformation and integration strategies
• Modernize legacy data systems to enhance efficiency and drive innovation
• Collaborate with the Head of Data to develop and implement a comprehensive MDM framework ensuring data integrity and governance
• Establish and enforce best practices in data governance, working closely with global and regional teams
• Drive system performance optimization and cost efficiency across data infrastructure
• Continuously evaluate emerging technologies, mitigating potential disruptions while capitalizing on new opportunities for innovation
• Advance a culture of excellence through collaboration, data ownership, and quality standards
• Collaborate with local and global teams to share and implement best practices
• Mentor and upskill team members, cultivate a data-driven culture, and ensure the organization leverages its information assets with integrity and strategic insight

Skills

• Bachelor's or Master's degree in Computer Science, Information Systems, Business or a related field
• 1-4 years of experience in IT, Data Engineering, or related fields
• 1-4 years in data warehousing, ETL/ELT processes, and data modeling
• 1-4 years of coding experience in SQL, Python, R, or similar languages
• Experience working with Tableau and BI tools
• Hands-on experience with cloud platforms (Snowflake, Denodo, Amazon Marketing Cloud, GCP)
• Knowledge of data modeling principles, schema design, and dimensional modeling
• A positive, adaptable attitude to thrive in a dynamic, multicultural environment
• Deep expertise in data architecture, MDM, analytics platforms, and tools
• Proven ability to translate business needs into technical solutions
• Strong project management skills, managing multiple data sources and deadlines
• Ability to architect and develop scalable data solutions, staying ahead of industry trends
• Strong communication and collaboration skills with cross-functional teams
• SQL language coding and Python or other programming languages are a plus
• Knowledge of PowerBI or Tableau or comparable BI platform is a plus

Benefits

• Medical, dental, and vision coverage
• Voluntary benefits
• A 401(k) retirement plan
• A generous PTO policy
• Paid company holidays
• Paid parental leave
• Employee discounts on our products
• Professional development opportunities
• Access to mental health and wellness programs

Company Overview