Senior Data Engineer (M/F)
We are the world's leading operator of sushi corners in supermarkets. Created in 2012, Hana Group is a young & innovative company established internationally, both in Europe and in the United States! Our goal? To offer culinary experiences from elsewhere and make our consumers travel! Do you want to join an ultra-dynamic & human-sized group? Grow within a supportive team with a strong spirit of conquest? Participate in the Hana Group adventure!
The Data Engineer is responsible for the design, development, and operation of the data layer that supports decision-making and reporting within Hana Group. The selected candidate will be responsible for the entire data lifecycle, from collection from the Group's operational systems to the provision of reliable, clean, and structured data for business teams and Business Intelligence solutions. They will design and maintain data pipelines, the Data Warehouse, and data models to consolidate information from our kiosks, stands, and business applications in the 12 countries where the Group is present. This position is at the heart of the company's information system. The Data Engineer will be the point of reference for the data platform and will ensure that data is reliable, secure, documented, and available to meet daily operational needs as well as the Group's growing needs for analysis and reporting. Through their technical expertise and good understanding of business challenges, they will contribute to the continuous improvement of the data platform architecture and participate in technical decisions regarding its evolution, particularly to prepare for future uses related to advanced analytics and artificial intelligence.
Main responsibilities Design, develop, and maintain robust and scalable data pipelines (ETL/ELT), notably with SSIS and SQL, in order to collect, transform, and consolidate data from operational systems, business applications, and external sources, while progressively modernizing them within the Azure platform (Azure Data Factory, Azure SQL, Azure Synapse Analytics / Microsoft Fabric). Develop, optimize, and maintain the Data Warehouse as well as the Group's data models, ensuring their performance, reliability, and scalability. Define and apply data quality, security, and governance standards, notably in compliance with GDPR. Supervise the performance of pipelines and the platform, resolve incidents, and implement improvement actions to guarantee their availability. Support Business Intelligence and Analytics teams by providing reliable, structured, and usable datasets, particularly for Power BI dashboards. Ensure end-to-end responsibility for the data platform: backups, access management, documentation, and auditability. Collaborate with business teams, application managers, and IT teams to translate functional needs into suitable technical solutions. Participate in technical decisions relating to the architecture and evolution of the platform, particularly in view of future advanced analytics and artificial intelligence projects.
The Data Engineer must above all be able to understand complex business issues, collaborate with various stakeholders, and design solutions that meet their needs. Experience in complex data environments involving large volumes of data transformation. Minimum 3 years of experience in a similar position. Master's degree (Bac+5) in Computer Science, Data Engineering, Information Systems, or Engineering School.
Required skills and qualities Organization, autonomy, and adaptability, with a strong ability to take charge of the entire data platform. Excellent analytical and problem-solving skills, with great rigor regarding data quality. Very good interpersonal and communication skills to translate business needs into technical solutions and to popularize technical subjects for non-specialized stakeholders. Ability to manage several projects simultaneously and to prioritize activities effectively. Good writing skills to ensure clear and complete documentation of the platform. Fluent command of English, both written and spoken, indispensable in an international environment.
Required technical expertise The candidate must master the following technologies: SQL: expert level in writing, optimizing, and troubleshooting complex queries and stored procedures (T-SQL / Microsoft SQL Server). Data modeling and database design: excellent mastery of relational models, data schemas, and Data Warehouse concepts. ETL/ELT development: SQL Server Integration Services (SSIS) as well as modern orchestration tools such as Azure Data Factory. Microsoft Azure ecosystem: Azure SQL, Azure Data Factory, Azure Synapse Analytics and/or Microsoft Fabric. Business Intelligence: good mastery of Power BI (data models, datasets, and support for reporting solutions). Data quality, security, and governance, including GDPR compliance. Good understanding of technical architectures: SaaS, Cloud, APIs, and data integration. As Hana Group's information system relies mostly on the Microsoft ecosystem (Azure, Microsoft 365, Dynamics 365, etc.), solid expertise in these technologies is indispensable. Knowledge of Microsoft Dynamics 365 as well as Python applied to Data Engineering constitutes a real asset.
Additional assets Experience with Cloud Data Warehouse or Lakehouse platforms. Experience with Python in a Data Engineering context. Microsoft certifications such as Azure Data Engineer Associate or Microsoft Fabric Analytics Engineer.