Data Engineer

Lesaffre Digital & Data ambitions 

Lesaffre’s Digital & Data journey started some years’ ago with a strong push to encourage and cross-fertilize initiatives across the organization. Business impact of some of these first actions (Sales efficiency tools, My Lesaffre App for Bakers, digitalization of key operations etc…) have confirmed the importance of accelerating this journey.

Digital & Data are to become a fundamental transformative force for Lesaffre growth. On one hand, as a lever to increase customer centricity and user experience. On the other, to bring operational excellence across the company.

More concretely, some of these opportunities are: 

• Further empower salesforce & leverage digital marketing to capture, convert and keep our future and current clients and consumers  
• Leverage omnichannel strategies to sell, serve and delight our customers
• Turn our industrial operations even more intelligent and efficient (digitalization of processes, automatization of low added value tasks, industrial productivity, supply chain performance …)
• Contribute to unlocking further value and efficiency on R&D processes
• Empowering transversal functions to deliver better user experiences

To accelerate this journey, a substantial additional effort is being put in place. The recent arrival of a Chief Digital & Data Officer (ExCom member) has marked the beginning of this acceleration. With a more structured and results oriented journey, CD&D officer is creating a new organisation. Data and Tech is at the heart of the transformation. A Data and Tech Factory has been created to valorise Lesaffre’s data assets, and deliver use cases, governance capacities, and innovation. Both embedded in the Business and at a Global level, digital & data talents will be crucial to this transformative journey both in the impact to business as well as the development of D&D capabilities.

In this context, Lesaffre is recruiting a Data Engineer

This position will be part of the Data & Tech Factory and will report to the Head of Data Architecture and Engineering. You will play a pivotal role in shaping our data use cases and driving our data mesh strategy forward. You will collaborate with cross-functional teams to collect, transform, and deliver high-quality data for analytics, insights, or AI driven solutions. You will be responsible for developing and maintaining our data products, ensuring data quality, and optimizing performance in a cloud-native environment.

Key Responsibilities:

• Develop and maintain data products to ingest data from various sources into our cloud-based data store.
• Implement data integration strategies that align with the Data Mesh architecture principles.
• Transform raw data into usable formats suitable for analytics, adhering to best practices for data quality and consistency.
• Implement data processing and transformation logic using state-of-the-art technologies.
• Implement data quality checks and data validation processes to ensure the integrity of the data.
• Optimize data pipelines and processes for performance and scalability in a cloud-based environment.
• Monitor and troubleshoot data pipeline issues, ensuring minimal downtime.
• Utilize cloud services (e.g., AWS, Azure, GCP) for data storage, processing, and orchestration.
• Stay up to date with cloud technologies and leverage them to enhance data engineering capabilities.
• Work closely with data scientists, analysts, and other stakeholders to understand their data requirements and provide timely data products solutions.
• When required, participate and collaborate to enforce data governance policies and standards.