About the Company

Opella is a global self-care leader with one of the largest portfolios in the Over-The-Counter (OTC) and Vitamins, Minerals & Supplements (VMS) market. Headquartered in France, the company serves over half a billion consumers worldwide with a strong portfolio of trusted brands. With a workforce of 11,000 employees, multiple manufacturing sites, and innovation centers, Opella focuses on simplifying self-care through innovation, sustainability, and customer-centric solutions. The organization is committed to building a healthier future while maintaining a collaborative and inclusive work culture.

Introduction

We are seeking a Data Engineering Expert to design, develop, and maintain scalable data infrastructure and pipelines. This role involves working closely with cross-functional teams to ensure data accessibility, reliability, and performance while leveraging modern cloud and data engineering tools.

Key Responsibilities

Data Engineering & Pipeline Development

Design, implement, and maintain data pipelines and ETL/ELT processes using Databricks, Python, Airflow, and dbt.
Ensure efficient data ingestion, transformation, and processing workflows.
Monitor and optimize pipeline performance for reliability and scalability.

Data Modeling & Architecture

Develop and optimize data models, schemas, and structures for analytics and reporting.
Apply data warehousing best practices to ensure data quality and integrity.

Cloud & Data Integration

Manage data integration and migration across cloud platforms such as AWS and Azure.
Collaborate with teams to build scalable, cloud-based data solutions.
Support integration with tools like Snowflake and Informatica Cloud (if applicable).

Monitoring & Optimization

Monitor data workflows and troubleshoot issues to ensure high availability.
Implement performance tuning and data quality checks.
Maintain logs and ensure efficient error handling mechanisms.

Collaboration & Innovation

Work with data scientists, analysts, and business teams to understand requirements.
Stay updated with industry trends and emerging data engineering technologies.
Contribute to continuous improvement of data systems and processes.

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
Strong experience with Databricks data platform.
Proficiency in Python for data processing and automation.
Hands-on experience with Airflow and dbt for data workflows.
Experience working with cloud platforms such as AWS and Azure.
Solid understanding of data warehousing concepts and practices.
Strong problem-solving skills and attention to detail.
Excellent communication and teamwork abilities.

Preferred Qualifications

Experience with Snowflake data platform.
Familiarity with Informatica Cloud for data integration.
Knowledge of data governance and security best practices.

Why Join Us / Benefits

Opportunity to work with a global leader in the self-care industry.
Engage in impactful and meaningful projects at scale.
Collaborative, inclusive, and innovation-driven work culture.
Exposure to modern data engineering tools and cloud technologies.
Strong focus on learning, growth, and career development.
Work in an organization that values creativity, accountability, and simplicity.